KAMAL's Softwares Collection!!! (Updated Daily)

[KAMAL]

Adobe Audition 2020 v13.0.6 Multilingual (MacOSX)






Adobe Audition 2020 v13.0.6 Multilingual (MacOSX) | 581 MB | Language: Multilanguage

A professional audio workstation. Create, mix, and design sound effects with the industry's best digital audio editing software. Audition 2020 is a comprehensive toolset that includes multitrack, waveform, and spectral display for creating, mixing, editing, and restoring audio content.


This powerful audio workstation is designed to accelerate video production workflows and audio finishing - and deliver a polished mix with pristine sound.

Compatibility: macOS 10.13 or later 64-bit.

Homepage:

https://www.adobe.com

DOWNLOAD LINKS:

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[KAMAL]

Adobe After Effects 2020 v17.1 Multilingual (MacOSX)






Adobe After Effects 2020 v17.1 Multilingual (MacOSX) | 2.07 GB | Language: Multilanguage

The new, more connected After Effects CC 2020 can make the impossible possible. Get powerful new features like a Live 3D Pipeline that brings CINEMA 4D scenes in as layers - without intermediate rendering. Share work directly from within the application and get access to new features the moment they're released. Your entire creative world, together in one place.


After Effects 2020 is part of Creative Cloud. That means you have access to all the latest updates and future releases the moment they're available. Sharpen your skills and master new tools with a rich library of training videos. And Creative Cloud is integrated with Behance, so you can share your projects and get immediate feedback from creatives around the world.

Compatibility: macOS 10.13 or later 64-bit.

Homepage:

https://www.adobe.com

DOWNLOAD LINKS:

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[KAMAL]

Adobe Acrobat DC v20.009.20067 Multilingual (MacOSX)






Adobe Acrobat DC v20.009.20067 Multilingual (MacOSX) | 1.03 GB | Language: Multilanguage

Adobe Acrobat DC with Adobe Document Cloud services is here. Completely reimagined PDF tools that let you create, edit, sign, and track PDFs from anywhere. It will change the way you work with design layouts, press-ready files, and all your important documents forever.


Features:
- Access powerful print production and digital publishing tools. Preview, preflight, correct, and prepare PDF files.
- Work anywhere. Create, export, and sign PDFs from your computer or the Acrobat DC mobile app.
- Take your files with you. Use Mobile Link to access recent files across desktop, web, and mobile.
- Edit anything. Instantly edit PDFs and scanned documents - as naturally as any other file.
- Make last-minute changes. Edit text and organize PDF pages on your iPad.
- Replace ink signatures. Send, track, manage, and store signed documents with a built-in e-signature service.
- Protect important documents. Prevent others from copying or editing sensitive information in PDFs.
- Eliminate overnight envelopes. Send, track, and confirm delivery of documents electronically.

Compatibility: macOS 10.12 or later 64-bit.

Homepage:

https://www.adobe.com

DOWNLOAD LINKS:

https://rapidgator.net/file/f0e283d35a124dc2bafc5e770b5a51bd/Adobe_Acrobat_DC_v20.009.20067_Multilingual_MacOSX.part1.rar
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[KAMAL]

MathWorks MATLAB R2020a v9.8.0.1396136 (MacOSX)






MathWorks MATLAB R2020a v9.8.0.1396136 (MacOSX) | 19.9 GB | Language: English

Includes MathWorks MATLAB R2020a Update 3 only
Millions of engineers and scientists worldwide use MATLAB to analyze and design the systems and products transforming our world. MATLAB is in automobile active safety systems, interplanetary spacecraft, health monitoring devices, smart power grids, and LTE cellular networks. It is used for machine learning, signal processing, image processing, computer vision, communications, computational finance, control design, robotics, and much more.


Math. Graphics. Programming.
The MATLAB platform is optimized for solving engineering and scientific problems. The matrix-based MATLAB language is the world's most natural way to express computational mathematics. Built-in graphics make it easy to visualize and gain insights from data. A vast library of prebuilt toolboxes lets you get started right away with algorithms essential to your domain. The desktop environment invites experimentation, exploration, and discovery. These MATLAB tools and capabilities are all rigorously tested and designed to work together.
Scale. Integrate. Deploy.

MATLAB helps you take your ideas beyond the desktop. You can run your analyses on larger data sets and scale up to clusters and clouds. MATLAB code can be integrated with other languages, enabling you to deploy algorithms and applications within web, enterprise, and production systems.

Key FeaturesHigh-level language for scientific and engineering computingDesktop environment tuned for iterative exploration, design, and problem-solvingGraphics for visualizing data and tools for creating custom DescriptionsApps for curve fitting, data classification, signal analysis, and many other domain-specific tasksAdd-on toolboxes for a wide range of engineering and scientific applicationsTools for building applications with custom user interfacesInterfaces to C/C++, Java®, .NET, Python®, SQL, Hadoop®, and Microsoft® Excel®Royalty-free deployment options for sharing MATLAB programs with end users

Why MATLAB?
MATLAB is the easiest and most productive software for engineers and scientists. Whether you're analyzing data, developing algorithms, or creating models, MATLAB provides an environment that invites exploration and discovery. It combines a high-level language with a desktop environment tuned for iterative engineering and scientific workflows.

MATLAB Speaks Math
The matrix-based MATLAB language is the world's most natural way to express computational mathematics. MATLAB supports both numeric and symbolic calculations. Linear algebra in MATLAB looks like linear algebra in a textbook; symbolic calculations look like the equations you write on paper. This makes it straightforward to capture the mathematics behind your ideas, which means your code is easier to write, easier to read and understand, and easier to maintain.

You can trust the results of your computations. MATLAB, which has strong roots in the numerical analysis research community, is known for its impeccable numerics. A MathWorks team of 350 engineers continuously verifies quality by running millions of tests on the MATLAB code base every day.

MATLAB does the hard work to ensure your code runs quickly. Math operations are distributed across multiple cores on your computer, library calls are heavily optimized, and all code is just-in-time compiled. You can run your algorithms in parallel by changing for-loops into parallel for-loops or by changing standard arrays into GPU or distributed arrays. Run parallel algorithms in infinitely scalable public or private clouds with no code changes.

The MATLAB language also provides features of traditional programming languages, including flow control, error handling, object-oriented programming, unit testing, and source control integration.

MATLAB Is Designed for Engineers and Scientists
MATLAB provides a desktop environment tuned for iterative engineering and scientific workflows. Integrated tools support simultaneous exploration of data and programs, letting you evaluate more ideas in less time.

You can interactively preview, select, and preprocess the data you want to import.An extensive set of built-in math functions supports your engineering and scientific analysis.2D and 3D Descriptionting functions enable you to visualize and understand your data and communicate results.MATLAB apps allow you to perform common engineering tasks without having to program. Visualize how different algorithms work with your data, and iterate until you've got the results you want.The integrated editing and debugging tools let you quickly explore multiple options, refine your analysis, and iterate to an optimal solution.You can capture your work as sharable, interactive narratives.

Comprehensive, professional documentation written by engineers and scientists is always at your fingertips to keep you productive. Reliable, real-time technical support staff answers your questions quickly. And you can tap into the knowledge and experience of over 100,000 community members and MathWorks engineers on MATLAB Central, an open exchange for MATLAB and Simulink® users.

MATLAB and add-on toolboxes are integrated with each other and designed to work together. They offer professionally developed, rigorously tested, field-hardened, and fully documented functionality specifically for scientific and engineering applications

MATLAB Integrates Workflows
Major engineering and scientific challenges require broad coordination to take ideas to implementation. Every handoff along the way adds errors and delays.
MATLAB automates the entire path from research through production. You can:Build and package custom MATLAB apps and toolboxes to share with other MATLAB users.Create standalone executables to share with others who do not have MATLAB.Integrate with C/C++, Java, .NET, and Python. Call those languages directly from MATLAB, or package MATLAB algorithms and applications for deployment within web, enterprise, and production systems.Convert MATLAB algorithms to C, HDL, and PLC code to run on embedded devices.Deploy MATLAB code to run on production Hadoop systems.

MATLAB is also a key part of Model-Based Design, which is used for multidomain simulation, physical and discrete-event simulation, and verification and code generation.

MATLAB Web Apps
MATLAB Web App Server™ lets you host MATLAB® apps and Simulink® simulations as interactive web apps. You can create apps using App Designer, package them using MATLAB Compiler™, and host them using MATLAB Web App Server. Your end-users can access and run the web apps using a browser without installing additional software.
MATLAB Web App Server supports integration with authentication standards such as OpenID Connect and LDAP so that you can control access to your web apps. You can host and share multiple apps developed using different releases of MATLAB and Simulink.

Simulink Compiler
Simulink Compiler™ enables you to share Simulink® simulations as standalone executables. You can build the executables by packaging the compiled Simulink model and the MATLAB® code used to set up, run, and analyze a simulation. Standalone executables can be complete simulation apps that use MATLAB graphics and UIs designed with MATLAB App Designer. To co-simulate with an external simulation environment, you can generate standalone Functional Mockup Unit (FMU) binaries that adhere to the Functional Mockup Interface (FMI) standard.

To provide browser-based access to your deployed simulation, you can create a web app and host it with MATLAB Web App Server™. Simulink simulations can be packaged into software components for integration with other programming languages (with MATLAB Compiler SDK™). Large-scale deployment to enterprise systems is supported through MATLAB Production Server™. To generate C and C++ source code from Simulink, use Simulink Coder™.

Deep Learning
Data Preparation and Labeling
Video Labeler: Label ground-truth data in a video or image sequencesAudio Labeler: Interactively define and visualize ground-truth labels for audio datasetsNew Signal Labeler: Visualize and label signals interactivelyNew Pixel label datastore: Store pixel information for 2D and 3D semantic segmentation dataNew Audio datastore: Manage large collections of audio recordingsNew Image datastore: Support for 3D data

Network Architectures
New Build advanced network architectures like GANs, Siamese networks, attention networks, and variational autoencodersTrain a "you-only-look-once" (YOLO) v2 deep learning object detector and generate C and CUDA codeDeep Network Designer: Graphically design and analyze deep networks and generate MATLAB codeCustom layers support: Define new layers with multiple inputs and outputs, and specify loss functions for classification and regressionCombine LSTM and convolutional layers for video classification and gesture recognition

Deep Learning Interoperability
Import and export models with other deep learning frameworks using the ONNX model format and generate CUDA codeNew Ability to work with MobileNet-v2, ResNet-101, Inception-v3, SqueezeNet, NASNet-Large, and XceptionImport TensorFlow-Keras models and generate C, C++ and CUDA codeImport DAG networks in Caffe model importer

Network Training
Automatically validate network performance, and stop training when the validation metrics stop improvingNew Train deep learning networks on 3D image dataPerform hyperparameter tuning using Bayesian optimizationAdditional optimizers for training: Adam and RMSPropTrain DAG networks in parallel and on multiple GPUsTrain deep learning models on NVIDIA DGX and cloud platforms

Debugging and Visualization
DAG activations: Visualize intermediate activations for networks like ResNet-50, ResNet-101, GoogLeNet, and Inception-v3Monitor training progress with Descriptions for accuracy, loss, and validation metricsNetwork Analyzer: Visualize, analyze, and find problems in network architectures before trainingNew Visualize activations of LSTM networks and use Grad-CAM to understand classification decisions

Deployment
New Generate code for networks such as YOLO V2 object detector, DeepLab-v3+, MobileNet-v2, Xception, DenseNet-201, and recurrent networksNew Deploy deep learning networks to ARM Mali GPUsNew Automated deployment to Jetson AGX Xavier and Jetson Nano platformsApply CUDA optimized transposes using shared memory for improved performance

Reinforcement Learning
New Reinforcement Learning Algorithms: Train deep neural network policies using DQN, DDPG, A2C, PPO, and other algorithmsEnvironment Modeling: Create MATLAB and Simulink models to represent environments and provide observation and reward signals for training policiesTraining Acceleration: Parallelize policy training on GPUs and multicore CPUsNew Reference Examples: Implement policies for automated driving, robotics, and control design applications

Wireless Communications
5G and LTE Mobile Communications Standards
New 5G support in Wireless Waveform Generator App: Generate NR-TM, and uplink and downlink FRC waveforms using the Wireless Waveform Generator appNew Support for PRACH physical channels: Model physical random access channel (PRACH) used in initial system accessSupport for SRS, DM-RS and PT-RS signals: Model 5G signals used for uplink channel sounding, channel estimation and phase trackingNew Deep learning data synthesis for 5G channel estimation: Generate deep learning training data for convolutional neural networks (CNN) used in 5G channel estimationNB-IoT Uplink Shared Channel Modeling: Generate and decode the narrowband Internet of Things (NB-IoT) uplink shared channel

WLAN and Connectivity Standards
New System-level simulation Examples: Model an 802.11ax downlink orthogonal frequency-division multiple access (OFDMA) scenario, multiple space-time streams, and 802.11a Minstrel rate adaptationNew Support for IEEE 802.11ax Draft 4.1 (Wi-Fi6): Generate high-efficiency single-user null data packets (NDPs) with preamble puncturing, as defined in IEEE® P802.11ax™ Draft 4.1New Link-level simulation of IEEE 802.11ax Trigger-Based Format: Configure, generate, demodulate and decode high-efficiency trigger-based (HE TB) waveformsNew Blind Signal Recovery and Analysis Example: blindly detect, decode and analyze multiple IEEE 802.11a and IEEE 802.11ax packets in a waveformNew Bluetooth Low Energy BR/EDR waveform generation and link-level simulation: Generate, demodulate, and decode Bluetooth® basic rate (BR)and extended data rate (EDR) PHY waveformsBluetooth Support in Wireless Waveform Generator App: Generate and export Bluetooth Low Energy waveforms from the Wireless Waveform Generator appBluetooth Low Energy (BLE) Examples: Simulate BLE coexistence with WLAN, and perform BLE RF-PHY blocking, intermodulation, and carrier to interference (C/I) performance receiver tests

Massive MIMO, Multi-User MIMO, and Beamforming
New Multiuser Block Diagonalization Beamforming: Compute precoding and combining weights for multiuser MIMO systemsMassive MIMO: Simulate an end-to-end MIMO link using hybrid beamformingNew Transmit and Receive Signals with Unlimited Antennas: Apply WLAN transmission, multipath channel modeling and receiver operations with arbitrary number of antennas and linksWireless LAN: 802.11ad waveform generation with beamforming

Channel and Propagation Modeling
New Ray Tracing Propagation Model: New propagation model using ray tracing method of images with material reflection lossNew RF propagation using ray tracing: Predict the total received power and generate coverage maps with ray tracingNew Rain Attenuation Models: Predict signal attenuation with Global Crane Rain Attenuation and ITU modelsRF Propagation Visualization with Ray Tracing: Configure and visualize transmitter and receiver sites, buildings, links, ray tracing results, and coverage maps using free-space, terrain, and weather-effects propagation modelsSINR Visualization: Visualize transmitter site signal-to-interference-plus-noise ratio (SINR) on a map

RF and Digital Front End
Power amplifier (PA) modeling: Model wideband and narrowband power amplifiers, capturing non-linearity and memory effects based on input/output device characteristicsS-parameter block: Model frequency response of RF devices using S-parameter dataLinearize power amplifiers with DPD: Simulate linearization of RF power amplifiers with memory using digital predistortion (DPD)RF budget analyzer: Analytically compute gain, noise figure, and IP3 for cascaded RF components, and visualize using Smith and polar Descriptions

Antenna Modeling
New Custom Antenna Patterns: Import custom patterns expressed in phi-theta coordinates using Sensor Array Analyzer appAntenna designer: Interactively select and analyze antennas with desired characteristicsPCB stack antenna: Design custom PCB antennas with arbitrary metal-dielectric layers and advanced meshing controlGerber file generation: Prototype and implement antennas using a customizable library of RF connectors and PCB manufacturing services

Software-Defined Radio
Standard-compliant LTE and WLAN: Over-the-air waveform generation and captureUSRP E300 Series software-defined radio: Prototype and test wireless system designs on Ettus Research USRP E-300 SDRsADALM-PLUTO software-defined radio: Prototype and test wireless system designs on Analog Devices PlutoSDR

C/C++ Code Generation
MATLAB Coder: Generate C++ classes from MATLAB classesEmbedded Coder: Generate C/C++ Code for Software Compositions with Message-Based CommunicationFixed-Point Designer: Explore signal ranges and convert Simulink models using data type optimization

Automotive
Perception System Design
New Lidar Sensor Model: Generate synthetic point clouds from programmatic driving scenariosNew Tracking Examples: Fuse radar and lidar tracks, perform track-to-track fusion in SimulinkUnreal Engine® Compatible Sensor Models: Integrate your Simulink model with a camera, lidar, or radar sensor model simulating in an Unreal Engine sceneMonocular Camera Parameter Estimation: Configure a monocular camera by estimating its extrinsic parametersRadar Sensor Model Enhancements: Model occlusions in radar sensorsSensor fusion and tracking examplesPath Planning: Plan driving paths using an RRT* path planner and costmapLidar Segmentation: Quickly segment 3D point clouds from lidar

Test and Verification
New MDF Read on Linux: Open and read MDF files on Linux platformMDF File Information and Sorting Functions: Quickly access MDF file metadata and sort the contents of an MDF fileMDF File Import Performance: Open and read MDF files significantly faster than in previous releasesKinematics and Compliance Virtual Test Laboratory: Generate mapped suspension calibration parameters from spreadsheet dataVector BLF File Format Support: Read and write binary BLF logging files from MATLABPrebuilt Driving Scenarios: Test driving algorithms using Euro NCAP® and other prebuilt scenariosOpenDRIVE® File Import Support: Load OpenDRIVE roads into a driving scenarioDriving Scenario Designer: Interactively define actors and driving scenarios to test controllers and sensor fusion algorithmsPreassembled maneuvers for common ride and handling tests, including a double-lane change and constant radius test

Ground Truth Labeling
New Lidar labeling: Label lidar point clouds to train deep learning modelsNew Multisignal Ground Truth Labeling: Label multiple lidar and video signals simultaneouslyGround Truth Labeling: Organize labels by logical groupsDefine multiple custom labels in Ground Truth Labeler connectorGround Truth Pixel Labeling: Interactively label individual pixels in video dataGround Truth Label Attributes: Organize and classify ground truth labels using attributes and sublabels

Visualization
New 3D Simulation Version Upgrade: Run 3D simulations using Unreal Engine, Version 4.23New Headless Mode: Run 3D simulations without opening the Unreal Engine 3D visualization display3D Simulation: Develop, test, and verify driving algorithms in a 3D simulation environment rendered using the Unreal Engine by Epic Games®Unreal Engine Scenes: Use prebuilt 3D scenes, including a parking lot, highway segment, and Mcity, or create your own custom scene with the Unreal EditorHERE HD Live Map Reader: Read and visualize data from high-definition maps designed for automated driving applicationsUnreal Engine 4 Interface: Use support package to customize and install additional 3D scenesManeuver Reference Applications: Use 3D environment ray tracing to determine ground location under tires during vehicle maneuverBird's-Eye Scope for Simulink: Analyze sensor coverages, detections, and tracks in your model

Electrification
Virtual Calibration: Use Model-Based Calibration Toolbox™ to calibrate Mapped Motor and Three-Phase Voltage Source Inverter block efficiency maps with measured dataGetting Started Example: Generate current controller calibration tables for flux-based motor controllersLibraries of propulsion, steering, suspension, vehicle body, brake, and tire componentsFlux-Based Motor Parameterization: Generate parameters for Flux-Based PMSM and Flux-Based PM Controller blocks​Battery Parameterization: Generate parameters for Datasheet Battery and Equivalent Circuit Battery blocks

Engine Calibration
Deep Learning Engine Model: Generate a deep learning engine model for algorithm design and performance, fuel economy, and emissions analysisASAM CDFX File Format Support: Import, export, and modify files in calibration data file format (CDFX)Timestamp Support for XCP Blocks: Communicate timestamped data between Simulink models and XCP slavesVirtual Calibration: Use Model-Based Calibration Toolbox to calibrate SI and CI mapped engine blocksCI and SI Engine Dynamometer Reference Applications: Resize engines and recalibrate controllers based on desired engine displacement and number of cylinders

Fuel Economy and Performance Analysis
New Vehicle and Trailer Blocks: Implement 3DOF trailers and vehicles with three axlesNew Transmission Control Module: Optimize shift schedules for algorithm design and performance, fuel economy, and emissions analysisHEV Reference Applications: New or updated reference applications for single-motor HEV architectures P0, P1, P2, P3, and P4. Fully assembled models use a new equivalent consumption minimization strategy (ECMS) for the supervisory hybrid controlPowertrain Efficiency: Evaluate and report energy and power losses at the component and system levelHEV Input Power-Split Reference Application: Use fully assembled model for HIL testing, tradeoff analysis, and control parameter optimization of a power-split hybrid like the Toyota Prius

AUTOSAR
New AUTOSAR Adaptive Platform Release 19-03: Use the 000047 (R19-03) schema to import and export ARXML files and generate AUTOSAR-compatible C ++ codeBlocks for Basic Software Services: Use blocks for modeling and simulating Basic Software services, including Diagnostic Event , Function Inhibition and NVRAM Manager blocksCreate AUTOSAR Architecture Models: Author AUTOSAR compositions, view component/composition dependencies via spotlights and simulate functional behavior with basic software services using Composition Editor (requires System Composer™). Then you can generate and package composition arxml descriptions and component code (requires Embedded Coder®).AUTOSAR SW-C App: Easily configure a model as AUTOSAR classic component or adaptive application

Motor Control Blockset
Motor Control Blockset™ provides Simulink® blocks that let you create an accurate motor model. The blockset also provides tools for collecting data directly from hardware and calculating motor parameters.

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[KAMAL]

MathWorks MATLAB R2020a v9.8.0.1396136






MathWorks MATLAB R2020a v9.8.0.1396136 | 24.25 GB | Language: English

Includes MathWorks MATLAB R2020a Update 3 only
Millions of engineers and scientists worldwide use MATLAB to analyze and design the systems and products transforming our world. MATLAB is in automobile active safety systems, interplanetary spacecraft, health monitoring devices, smart power grids, and LTE cellular networks. It is used for machine learning, signal processing, image processing, computer vision, communications, computational finance, control design, robotics, and much more.


Math. Graphics. Programming.
The MATLAB platform is optimized for solving engineering and scientific problems. The matrix-based MATLAB language is the world's most natural way to express computational mathematics. Built-in graphics make it easy to visualize and gain insights from data. A vast library of prebuilt toolboxes lets you get started right away with algorithms essential to your domain. The desktop environment invites experimentation, exploration, and discovery. These MATLAB tools and capabilities are all rigorously tested and designed to work together.
Scale. Integrate. Deploy.

MATLAB helps you take your ideas beyond the desktop. You can run your analyses on larger data sets and scale up to clusters and clouds. MATLAB code can be integrated with other languages, enabling you to deploy algorithms and applications within web, enterprise, and production systems.

Key FeaturesHigh-level language for scientific and engineering computingDesktop environment tuned for iterative exploration, design, and problem-solvingGraphics for visualizing data and tools for creating custom DescriptionsApps for curve fitting, data classification, signal analysis, and many other domain-specific tasksAdd-on toolboxes for a wide range of engineering and scientific applicationsTools for building applications with custom user interfacesInterfaces to C/C++, Java®, .NET, Python®, SQL, Hadoop®, and Microsoft® Excel®Royalty-free deployment options for sharing MATLAB programs with end users

Why MATLAB?
MATLAB is the easiest and most productive software for engineers and scientists. Whether you're analyzing data, developing algorithms, or creating models, MATLAB provides an environment that invites exploration and discovery. It combines a high-level language with a desktop environment tuned for iterative engineering and scientific workflows.

MATLAB Speaks Math
The matrix-based MATLAB language is the world's most natural way to express computational mathematics. MATLAB supports both numeric and symbolic calculations. Linear algebra in MATLAB looks like linear algebra in a textbook; symbolic calculations look like the equations you write on paper. This makes it straightforward to capture the mathematics behind your ideas, which means your code is easier to write, easier to read and understand, and easier to maintain.

You can trust the results of your computations. MATLAB, which has strong roots in the numerical analysis research community, is known for its impeccable numerics. A MathWorks team of 350 engineers continuously verifies quality by running millions of tests on the MATLAB code base every day.

MATLAB does the hard work to ensure your code runs quickly. Math operations are distributed across multiple cores on your computer, library calls are heavily optimized, and all code is just-in-time compiled. You can run your algorithms in parallel by changing for-loops into parallel for-loops or by changing standard arrays into GPU or distributed arrays. Run parallel algorithms in infinitely scalable public or private clouds with no code changes.

The MATLAB language also provides features of traditional programming languages, including flow control, error handling, object-oriented programming, unit testing, and source control integration.

MATLAB Is Designed for Engineers and Scientists
MATLAB provides a desktop environment tuned for iterative engineering and scientific workflows. Integrated tools support simultaneous exploration of data and programs, letting you evaluate more ideas in less time.

You can interactively preview, select, and preprocess the data you want to import.An extensive set of built-in math functions supports your engineering and scientific analysis.2D and 3D Descriptionting functions enable you to visualize and understand your data and communicate results.MATLAB apps allow you to perform common engineering tasks without having to program. Visualize how different algorithms work with your data, and iterate until you've got the results you want.The integrated editing and debugging tools let you quickly explore multiple options, refine your analysis, and iterate to an optimal solution.You can capture your work as sharable, interactive narratives.

Comprehensive, professional documentation written by engineers and scientists is always at your fingertips to keep you productive. Reliable, real-time technical support staff answers your questions quickly. And you can tap into the knowledge and experience of over 100,000 community members and MathWorks engineers on MATLAB Central, an open exchange for MATLAB and Simulink® users.

MATLAB and add-on toolboxes are integrated with each other and designed to work together. They offer professionally developed, rigorously tested, field-hardened, and fully documented functionality specifically for scientific and engineering applications

MATLAB Integrates Workflows
Major engineering and scientific challenges require broad coordination to take ideas to implementation. Every handoff along the way adds errors and delays.
MATLAB automates the entire path from research through production. You can:Build and package custom MATLAB apps and toolboxes to share with other MATLAB users.Create standalone executables to share with others who do not have MATLAB.Integrate with C/C++, Java, .NET, and Python. Call those languages directly from MATLAB, or package MATLAB algorithms and applications for deployment within web, enterprise, and production systems.Convert MATLAB algorithms to C, HDL, and PLC code to run on embedded devices.Deploy MATLAB code to run on production Hadoop systems.

MATLAB is also a key part of Model-Based Design, which is used for multidomain simulation, physical and discrete-event simulation, and verification and code generation.

MATLAB Web Apps
MATLAB Web App Server™ lets you host MATLAB® apps and Simulink® simulations as interactive web apps. You can create apps using App Designer, package them using MATLAB Compiler™, and host them using MATLAB Web App Server. Your end-users can access and run the web apps using a browser without installing additional software.
MATLAB Web App Server supports integration with authentication standards such as OpenID Connect and LDAP so that you can control access to your web apps. You can host and share multiple apps developed using different releases of MATLAB and Simulink.

Simulink Compiler
Simulink Compiler™ enables you to share Simulink® simulations as standalone executables. You can build the executables by packaging the compiled Simulink model and the MATLAB® code used to set up, run, and analyze a simulation. Standalone executables can be complete simulation apps that use MATLAB graphics and UIs designed with MATLAB App Designer. To co-simulate with an external simulation environment, you can generate standalone Functional Mockup Unit (FMU) binaries that adhere to the Functional Mockup Interface (FMI) standard.

To provide browser-based access to your deployed simulation, you can create a web app and host it with MATLAB Web App Server™. Simulink simulations can be packaged into software components for integration with other programming languages (with MATLAB Compiler SDK™). Large-scale deployment to enterprise systems is supported through MATLAB Production Server™. To generate C and C++ source code from Simulink, use Simulink Coder™.

Deep Learning
Data Preparation and Labeling
Video Labeler: Label ground-truth data in a video or image sequencesAudio Labeler: Interactively define and visualize ground-truth labels for audio datasetsNew Signal Labeler: Visualize and label signals interactivelyNew Pixel label datastore: Store pixel information for 2D and 3D semantic segmentation dataNew Audio datastore: Manage large collections of audio recordingsNew Image datastore: Support for 3D data

Network Architectures
New Build advanced network architectures like GANs, Siamese networks, attention networks, and variational autoencodersTrain a "you-only-look-once" (YOLO) v2 deep learning object detector and generate C and CUDA codeDeep Network Designer: Graphically design and analyze deep networks and generate MATLAB codeCustom layers support: Define new layers with multiple inputs and outputs, and specify loss functions for classification and regressionCombine LSTM and convolutional layers for video classification and gesture recognition

Deep Learning Interoperability
Import and export models with other deep learning frameworks using the ONNX model format and generate CUDA codeNew Ability to work with MobileNet-v2, ResNet-101, Inception-v3, SqueezeNet, NASNet-Large, and XceptionImport TensorFlow-Keras models and generate C, C++ and CUDA codeImport DAG networks in Caffe model importer

Network Training
Automatically validate network performance, and stop training when the validation metrics stop improvingNew Train deep learning networks on 3D image dataPerform hyperparameter tuning using Bayesian optimizationAdditional optimizers for training: Adam and RMSPropTrain DAG networks in parallel and on multiple GPUsTrain deep learning models on NVIDIA DGX and cloud platforms

Debugging and Visualization
DAG activations: Visualize intermediate activations for networks like ResNet-50, ResNet-101, GoogLeNet, and Inception-v3Monitor training progress with Descriptions for accuracy, loss, and validation metricsNetwork Analyzer: Visualize, analyze, and find problems in network architectures before trainingNew Visualize activations of LSTM networks and use Grad-CAM to understand classification decisions

Deployment
New Generate code for networks such as YOLO V2 object detector, DeepLab-v3+, MobileNet-v2, Xception, DenseNet-201, and recurrent networksNew Deploy deep learning networks to ARM Mali GPUsNew Automated deployment to Jetson AGX Xavier and Jetson Nano platformsApply CUDA optimized transposes using shared memory for improved performance

Reinforcement Learning
New Reinforcement Learning Algorithms: Train deep neural network policies using DQN, DDPG, A2C, PPO, and other algorithmsEnvironment Modeling: Create MATLAB and Simulink models to represent environments and provide observation and reward signals for training policiesTraining Acceleration: Parallelize policy training on GPUs and multicore CPUsNew Reference Examples: Implement policies for automated driving, robotics, and control design applications

Wireless Communications
5G and LTE Mobile Communications Standards
New 5G support in Wireless Waveform Generator App: Generate NR-TM, and uplink and downlink FRC waveforms using the Wireless Waveform Generator appNew Support for PRACH physical channels: Model physical random access channel (PRACH) used in initial system accessSupport for SRS, DM-RS and PT-RS signals: Model 5G signals used for uplink channel sounding, channel estimation and phase trackingNew Deep learning data synthesis for 5G channel estimation: Generate deep learning training data for convolutional neural networks (CNN) used in 5G channel estimationNB-IoT Uplink Shared Channel Modeling: Generate and decode the narrowband Internet of Things (NB-IoT) uplink shared channel

WLAN and Connectivity Standards
New System-level simulation Examples: Model an 802.11ax downlink orthogonal frequency-division multiple access (OFDMA) scenario, multiple space-time streams, and 802.11a Minstrel rate adaptationNew Support for IEEE 802.11ax Draft 4.1 (Wi-Fi6): Generate high-efficiency single-user null data packets (NDPs) with preamble puncturing, as defined in IEEE® P802.11ax™ Draft 4.1New Link-level simulation of IEEE 802.11ax Trigger-Based Format: Configure, generate, demodulate and decode high-efficiency trigger-based (HE TB) waveformsNew Blind Signal Recovery and Analysis Example: blindly detect, decode and analyze multiple IEEE 802.11a and IEEE 802.11ax packets in a waveformNew Bluetooth Low Energy BR/EDR waveform generation and link-level simulation: Generate, demodulate, and decode Bluetooth® basic rate (BR)and extended data rate (EDR) PHY waveformsBluetooth Support in Wireless Waveform Generator App: Generate and export Bluetooth Low Energy waveforms from the Wireless Waveform Generator appBluetooth Low Energy (BLE) Examples: Simulate BLE coexistence with WLAN, and perform BLE RF-PHY blocking, intermodulation, and carrier to interference (C/I) performance receiver tests

Massive MIMO, Multi-User MIMO, and Beamforming
New Multiuser Block Diagonalization Beamforming: Compute precoding and combining weights for multiuser MIMO systemsMassive MIMO: Simulate an end-to-end MIMO link using hybrid beamformingNew Transmit and Receive Signals with Unlimited Antennas: Apply WLAN transmission, multipath channel modeling and receiver operations with arbitrary number of antennas and linksWireless LAN: 802.11ad waveform generation with beamforming

Channel and Propagation Modeling
New Ray Tracing Propagation Model: New propagation model using ray tracing method of images with material reflection lossNew RF propagation using ray tracing: Predict the total received power and generate coverage maps with ray tracingNew Rain Attenuation Models: Predict signal attenuation with Global Crane Rain Attenuation and ITU modelsRF Propagation Visualization with Ray Tracing: Configure and visualize transmitter and receiver sites, buildings, links, ray tracing results, and coverage maps using free-space, terrain, and weather-effects propagation modelsSINR Visualization: Visualize transmitter site signal-to-interference-plus-noise ratio (SINR) on a map

RF and Digital Front End
Power amplifier (PA) modeling: Model wideband and narrowband power amplifiers, capturing non-linearity and memory effects based on input/output device characteristicsS-parameter block: Model frequency response of RF devices using S-parameter dataLinearize power amplifiers with DPD: Simulate linearization of RF power amplifiers with memory using digital predistortion (DPD)RF budget analyzer: Analytically compute gain, noise figure, and IP3 for cascaded RF components, and visualize using Smith and polar Descriptions

Antenna Modeling
New Custom Antenna Patterns: Import custom patterns expressed in phi-theta coordinates using Sensor Array Analyzer appAntenna designer: Interactively select and analyze antennas with desired characteristicsPCB stack antenna: Design custom PCB antennas with arbitrary metal-dielectric layers and advanced meshing controlGerber file generation: Prototype and implement antennas using a customizable library of RF connectors and PCB manufacturing services

Software-Defined Radio
Standard-compliant LTE and WLAN: Over-the-air waveform generation and captureUSRP E300 Series software-defined radio: Prototype and test wireless system designs on Ettus Research USRP E-300 SDRsADALM-PLUTO software-defined radio: Prototype and test wireless system designs on Analog Devices PlutoSDR

C/C++ Code Generation
MATLAB Coder: Generate C++ classes from MATLAB classesEmbedded Coder: Generate C/C++ Code for Software Compositions with Message-Based CommunicationFixed-Point Designer: Explore signal ranges and convert Simulink models using data type optimization

Automotive
Perception System Design
New Lidar Sensor Model: Generate synthetic point clouds from programmatic driving scenariosNew Tracking Examples: Fuse radar and lidar tracks, perform track-to-track fusion in SimulinkUnreal Engine® Compatible Sensor Models: Integrate your Simulink model with a camera, lidar, or radar sensor model simulating in an Unreal Engine sceneMonocular Camera Parameter Estimation: Configure a monocular camera by estimating its extrinsic parametersRadar Sensor Model Enhancements: Model occlusions in radar sensorsSensor fusion and tracking examplesPath Planning: Plan driving paths using an RRT* path planner and costmapLidar Segmentation: Quickly segment 3D point clouds from lidar

Test and Verification
New MDF Read on Linux: Open and read MDF files on Linux platformMDF File Information and Sorting Functions: Quickly access MDF file metadata and sort the contents of an MDF fileMDF File Import Performance: Open and read MDF files significantly faster than in previous releasesKinematics and Compliance Virtual Test Laboratory: Generate mapped suspension calibration parameters from spreadsheet dataVector BLF File Format Support: Read and write binary BLF logging files from MATLABPrebuilt Driving Scenarios: Test driving algorithms using Euro NCAP® and other prebuilt scenariosOpenDRIVE® File Import Support: Load OpenDRIVE roads into a driving scenarioDriving Scenario Designer: Interactively define actors and driving scenarios to test controllers and sensor fusion algorithmsPreassembled maneuvers for common ride and handling tests, including a double-lane change and constant radius test

Ground Truth Labeling
New Lidar labeling: Label lidar point clouds to train deep learning modelsNew Multisignal Ground Truth Labeling: Label multiple lidar and video signals simultaneouslyGround Truth Labeling: Organize labels by logical groupsDefine multiple custom labels in Ground Truth Labeler connectorGround Truth Pixel Labeling: Interactively label individual pixels in video dataGround Truth Label Attributes: Organize and classify ground truth labels using attributes and sublabels

Visualization
New 3D Simulation Version Upgrade: Run 3D simulations using Unreal Engine, Version 4.23New Headless Mode: Run 3D simulations without opening the Unreal Engine 3D visualization display3D Simulation: Develop, test, and verify driving algorithms in a 3D simulation environment rendered using the Unreal Engine by Epic Games®Unreal Engine Scenes: Use prebuilt 3D scenes, including a parking lot, highway segment, and Mcity, or create your own custom scene with the Unreal EditorHERE HD Live Map Reader: Read and visualize data from high-definition maps designed for automated driving applicationsUnreal Engine 4 Interface: Use support package to customize and install additional 3D scenesManeuver Reference Applications: Use 3D environment ray tracing to determine ground location under tires during vehicle maneuverBird's-Eye Scope for Simulink: Analyze sensor coverages, detections, and tracks in your model

Electrification
Virtual Calibration: Use Model-Based Calibration Toolbox™ to calibrate Mapped Motor and Three-Phase Voltage Source Inverter block efficiency maps with measured dataGetting Started Example: Generate current controller calibration tables for flux-based motor controllersLibraries of propulsion, steering, suspension, vehicle body, brake, and tire componentsFlux-Based Motor Parameterization: Generate parameters for Flux-Based PMSM and Flux-Based PM Controller blocks​Battery Parameterization: Generate parameters for Datasheet Battery and Equivalent Circuit Battery blocks

Engine Calibration
Deep Learning Engine Model: Generate a deep learning engine model for algorithm design and performance, fuel economy, and emissions analysisASAM CDFX File Format Support: Import, export, and modify files in calibration data file format (CDFX)Timestamp Support for XCP Blocks: Communicate timestamped data between Simulink models and XCP slavesVirtual Calibration: Use Model-Based Calibration Toolbox to calibrate SI and CI mapped engine blocksCI and SI Engine Dynamometer Reference Applications: Resize engines and recalibrate controllers based on desired engine displacement and number of cylinders

Fuel Economy and Performance Analysis
New Vehicle and Trailer Blocks: Implement 3DOF trailers and vehicles with three axlesNew Transmission Control Module: Optimize shift schedules for algorithm design and performance, fuel economy, and emissions analysisHEV Reference Applications: New or updated reference applications for single-motor HEV architectures P0, P1, P2, P3, and P4. Fully assembled models use a new equivalent consumption minimization strategy (ECMS) for the supervisory hybrid controlPowertrain Efficiency: Evaluate and report energy and power losses at the component and system levelHEV Input Power-Split Reference Application: Use fully assembled model for HIL testing, tradeoff analysis, and control parameter optimization of a power-split hybrid like the Toyota Prius

AUTOSAR
New AUTOSAR Adaptive Platform Release 19-03: Use the 000047 (R19-03) schema to import and export ARXML files and generate AUTOSAR-compatible C ++ codeBlocks for Basic Software Services: Use blocks for modeling and simulating Basic Software services, including Diagnostic Event , Function Inhibition and NVRAM Manager blocksCreate AUTOSAR Architecture Models: Author AUTOSAR compositions, view component/composition dependencies via spotlights and simulate functional behavior with basic software services using Composition Editor (requires System Composer™). Then you can generate and package composition arxml descriptions and component code (requires Embedded Coder®).AUTOSAR SW-C App: Easily configure a model as AUTOSAR classic component or adaptive application

Motor Control Blockset
Motor Control Blockset™ provides Simulink® blocks that let you create an accurate motor model. The blockset also provides tools for collecting data directly from hardware and calculating motor parameters.

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[KAMAL]

MathWorks MATLAB R2020a v9.8.0.1396136 (Linux)






MathWorks MATLAB R2020a v9.8.0.1396136 (Linux) | 20.5 GB | Language: English

Includes MathWorks MATLAB R2020a Update 3 only
Millions of engineers and scientists worldwide use MATLAB to analyze and design the systems and products transforming our world. MATLAB is in automobile active safety systems, interplanetary spacecraft, health monitoring devices, smart power grids, and LTE cellular networks. It is used for machine learning, signal processing, image processing, computer vision, communications, computational finance, control design, robotics, and much more.


Math. Graphics. Programming.
The MATLAB platform is optimized for solving engineering and scientific problems. The matrix-based MATLAB language is the world's most natural way to express computational mathematics. Built-in graphics make it easy to visualize and gain insights from data. A vast library of prebuilt toolboxes lets you get started right away with algorithms essential to your domain. The desktop environment invites experimentation, exploration, and discovery. These MATLAB tools and capabilities are all rigorously tested and designed to work together.
Scale. Integrate. Deploy.

MATLAB helps you take your ideas beyond the desktop. You can run your analyses on larger data sets and scale up to clusters and clouds. MATLAB code can be integrated with other languages, enabling you to deploy algorithms and applications within web, enterprise, and production systems.

Key FeaturesHigh-level language for scientific and engineering computingDesktop environment tuned for iterative exploration, design, and problem-solvingGraphics for visualizing data and tools for creating custom DescriptionsApps for curve fitting, data classification, signal analysis, and many other domain-specific tasksAdd-on toolboxes for a wide range of engineering and scientific applicationsTools for building applications with custom user interfacesInterfaces to C/C++, Java®, .NET, Python®, SQL, Hadoop®, and Microsoft® Excel®Royalty-free deployment options for sharing MATLAB programs with end users

Why MATLAB?
MATLAB is the easiest and most productive software for engineers and scientists. Whether you're analyzing data, developing algorithms, or creating models, MATLAB provides an environment that invites exploration and discovery. It combines a high-level language with a desktop environment tuned for iterative engineering and scientific workflows.

MATLAB Speaks Math
The matrix-based MATLAB language is the world's most natural way to express computational mathematics. MATLAB supports both numeric and symbolic calculations. Linear algebra in MATLAB looks like linear algebra in a textbook; symbolic calculations look like the equations you write on paper. This makes it straightforward to capture the mathematics behind your ideas, which means your code is easier to write, easier to read and understand, and easier to maintain.

You can trust the results of your computations. MATLAB, which has strong roots in the numerical analysis research community, is known for its impeccable numerics. A MathWorks team of 350 engineers continuously verifies quality by running millions of tests on the MATLAB code base every day.

MATLAB does the hard work to ensure your code runs quickly. Math operations are distributed across multiple cores on your computer, library calls are heavily optimized, and all code is just-in-time compiled. You can run your algorithms in parallel by changing for-loops into parallel for-loops or by changing standard arrays into GPU or distributed arrays. Run parallel algorithms in infinitely scalable public or private clouds with no code changes.

The MATLAB language also provides features of traditional programming languages, including flow control, error handling, object-oriented programming, unit testing, and source control integration.

MATLAB Is Designed for Engineers and Scientists
MATLAB provides a desktop environment tuned for iterative engineering and scientific workflows. Integrated tools support simultaneous exploration of data and programs, letting you evaluate more ideas in less time.

You can interactively preview, select, and preprocess the data you want to import.An extensive set of built-in math functions supports your engineering and scientific analysis.2D and 3D Descriptionting functions enable you to visualize and understand your data and communicate results.MATLAB apps allow you to perform common engineering tasks without having to program. Visualize how different algorithms work with your data, and iterate until you've got the results you want.The integrated editing and debugging tools let you quickly explore multiple options, refine your analysis, and iterate to an optimal solution.You can capture your work as sharable, interactive narratives.

Comprehensive, professional documentation written by engineers and scientists is always at your fingertips to keep you productive. Reliable, real-time technical support staff answers your questions quickly. And you can tap into the knowledge and experience of over 100,000 community members and MathWorks engineers on MATLAB Central, an open exchange for MATLAB and Simulink® users.

MATLAB and add-on toolboxes are integrated with each other and designed to work together. They offer professionally developed, rigorously tested, field-hardened, and fully documented functionality specifically for scientific and engineering applications

MATLAB Integrates Workflows
Major engineering and scientific challenges require broad coordination to take ideas to implementation. Every handoff along the way adds errors and delays.
MATLAB automates the entire path from research through production. You can:Build and package custom MATLAB apps and toolboxes to share with other MATLAB users.Create standalone executables to share with others who do not have MATLAB.Integrate with C/C++, Java, .NET, and Python. Call those languages directly from MATLAB, or package MATLAB algorithms and applications for deployment within web, enterprise, and production systems.Convert MATLAB algorithms to C, HDL, and PLC code to run on embedded devices.Deploy MATLAB code to run on production Hadoop systems.

MATLAB is also a key part of Model-Based Design, which is used for multidomain simulation, physical and discrete-event simulation, and verification and code generation.

MATLAB Web Apps
MATLAB Web App Server™ lets you host MATLAB® apps and Simulink® simulations as interactive web apps. You can create apps using App Designer, package them using MATLAB Compiler™, and host them using MATLAB Web App Server. Your end-users can access and run the web apps using a browser without installing additional software.
MATLAB Web App Server supports integration with authentication standards such as OpenID Connect and LDAP so that you can control access to your web apps. You can host and share multiple apps developed using different releases of MATLAB and Simulink.

Simulink Compiler
Simulink Compiler™ enables you to share Simulink® simulations as standalone executables. You can build the executables by packaging the compiled Simulink model and the MATLAB® code used to set up, run, and analyze a simulation. Standalone executables can be complete simulation apps that use MATLAB graphics and UIs designed with MATLAB App Designer. To co-simulate with an external simulation environment, you can generate standalone Functional Mockup Unit (FMU) binaries that adhere to the Functional Mockup Interface (FMI) standard.

To provide browser-based access to your deployed simulation, you can create a web app and host it with MATLAB Web App Server™. Simulink simulations can be packaged into software components for integration with other programming languages (with MATLAB Compiler SDK™). Large-scale deployment to enterprise systems is supported through MATLAB Production Server™. To generate C and C++ source code from Simulink, use Simulink Coder™.

Deep Learning
Data Preparation and Labeling
Video Labeler: Label ground-truth data in a video or image sequencesAudio Labeler: Interactively define and visualize ground-truth labels for audio datasetsNew Signal Labeler: Visualize and label signals interactivelyNew Pixel label datastore: Store pixel information for 2D and 3D semantic segmentation dataNew Audio datastore: Manage large collections of audio recordingsNew Image datastore: Support for 3D data

Network Architectures
New Build advanced network architectures like GANs, Siamese networks, attention networks, and variational autoencodersTrain a "you-only-look-once" (YOLO) v2 deep learning object detector and generate C and CUDA codeDeep Network Designer: Graphically design and analyze deep networks and generate MATLAB codeCustom layers support: Define new layers with multiple inputs and outputs, and specify loss functions for classification and regressionCombine LSTM and convolutional layers for video classification and gesture recognition

Deep Learning Interoperability
Import and export models with other deep learning frameworks using the ONNX model format and generate CUDA codeNew Ability to work with MobileNet-v2, ResNet-101, Inception-v3, SqueezeNet, NASNet-Large, and XceptionImport TensorFlow-Keras models and generate C, C++ and CUDA codeImport DAG networks in Caffe model importer

Network Training
Automatically validate network performance, and stop training when the validation metrics stop improvingNew Train deep learning networks on 3D image dataPerform hyperparameter tuning using Bayesian optimizationAdditional optimizers for training: Adam and RMSPropTrain DAG networks in parallel and on multiple GPUsTrain deep learning models on NVIDIA DGX and cloud platforms

Debugging and Visualization
DAG activations: Visualize intermediate activations for networks like ResNet-50, ResNet-101, GoogLeNet, and Inception-v3Monitor training progress with Descriptions for accuracy, loss, and validation metricsNetwork Analyzer: Visualize, analyze, and find problems in network architectures before trainingNew Visualize activations of LSTM networks and use Grad-CAM to understand classification decisions

Deployment
New Generate code for networks such as YOLO V2 object detector, DeepLab-v3+, MobileNet-v2, Xception, DenseNet-201, and recurrent networksNew Deploy deep learning networks to ARM Mali GPUsNew Automated deployment to Jetson AGX Xavier and Jetson Nano platformsApply CUDA optimized transposes using shared memory for improved performance

Reinforcement Learning
New Reinforcement Learning Algorithms: Train deep neural network policies using DQN, DDPG, A2C, PPO, and other algorithmsEnvironment Modeling: Create MATLAB and Simulink models to represent environments and provide observation and reward signals for training policiesTraining Acceleration: Parallelize policy training on GPUs and multicore CPUsNew Reference Examples: Implement policies for automated driving, robotics, and control design applications

Wireless Communications
5G and LTE Mobile Communications Standards
New 5G support in Wireless Waveform Generator App: Generate NR-TM, and uplink and downlink FRC waveforms using the Wireless Waveform Generator appNew Support for PRACH physical channels: Model physical random access channel (PRACH) used in initial system accessSupport for SRS, DM-RS and PT-RS signals: Model 5G signals used for uplink channel sounding, channel estimation and phase trackingNew Deep learning data synthesis for 5G channel estimation: Generate deep learning training data for convolutional neural networks (CNN) used in 5G channel estimationNB-IoT Uplink Shared Channel Modeling: Generate and decode the narrowband Internet of Things (NB-IoT) uplink shared channel

WLAN and Connectivity Standards
New System-level simulation Examples: Model an 802.11ax downlink orthogonal frequency-division multiple access (OFDMA) scenario, multiple space-time streams, and 802.11a Minstrel rate adaptationNew Support for IEEE 802.11ax Draft 4.1 (Wi-Fi6): Generate high-efficiency single-user null data packets (NDPs) with preamble puncturing, as defined in IEEE® P802.11ax™ Draft 4.1New Link-level simulation of IEEE 802.11ax Trigger-Based Format: Configure, generate, demodulate and decode high-efficiency trigger-based (HE TB) waveformsNew Blind Signal Recovery and Analysis Example: blindly detect, decode and analyze multiple IEEE 802.11a and IEEE 802.11ax packets in a waveformNew Bluetooth Low Energy BR/EDR waveform generation and link-level simulation: Generate, demodulate, and decode Bluetooth® basic rate (BR)and extended data rate (EDR) PHY waveformsBluetooth Support in Wireless Waveform Generator App: Generate and export Bluetooth Low Energy waveforms from the Wireless Waveform Generator appBluetooth Low Energy (BLE) Examples: Simulate BLE coexistence with WLAN, and perform BLE RF-PHY blocking, intermodulation, and carrier to interference (C/I) performance receiver tests

Massive MIMO, Multi-User MIMO, and Beamforming
New Multiuser Block Diagonalization Beamforming: Compute precoding and combining weights for multiuser MIMO systemsMassive MIMO: Simulate an end-to-end MIMO link using hybrid beamformingNew Transmit and Receive Signals with Unlimited Antennas: Apply WLAN transmission, multipath channel modeling and receiver operations with arbitrary number of antennas and linksWireless LAN: 802.11ad waveform generation with beamforming

Channel and Propagation Modeling
New Ray Tracing Propagation Model: New propagation model using ray tracing method of images with material reflection lossNew RF propagation using ray tracing: Predict the total received power and generate coverage maps with ray tracingNew Rain Attenuation Models: Predict signal attenuation with Global Crane Rain Attenuation and ITU modelsRF Propagation Visualization with Ray Tracing: Configure and visualize transmitter and receiver sites, buildings, links, ray tracing results, and coverage maps using free-space, terrain, and weather-effects propagation modelsSINR Visualization: Visualize transmitter site signal-to-interference-plus-noise ratio (SINR) on a map

RF and Digital Front End
Power amplifier (PA) modeling: Model wideband and narrowband power amplifiers, capturing non-linearity and memory effects based on input/output device characteristicsS-parameter block: Model frequency response of RF devices using S-parameter dataLinearize power amplifiers with DPD: Simulate linearization of RF power amplifiers with memory using digital predistortion (DPD)RF budget analyzer: Analytically compute gain, noise figure, and IP3 for cascaded RF components, and visualize using Smith and polar Descriptions

Antenna Modeling
New Custom Antenna Patterns: Import custom patterns expressed in phi-theta coordinates using Sensor Array Analyzer appAntenna designer: Interactively select and analyze antennas with desired characteristicsPCB stack antenna: Design custom PCB antennas with arbitrary metal-dielectric layers and advanced meshing controlGerber file generation: Prototype and implement antennas using a customizable library of RF connectors and PCB manufacturing services

Software-Defined Radio
Standard-compliant LTE and WLAN: Over-the-air waveform generation and captureUSRP E300 Series software-defined radio: Prototype and test wireless system designs on Ettus Research USRP E-300 SDRsADALM-PLUTO software-defined radio: Prototype and test wireless system designs on Analog Devices PlutoSDR

C/C++ Code Generation
MATLAB Coder: Generate C++ classes from MATLAB classesEmbedded Coder: Generate C/C++ Code for Software Compositions with Message-Based CommunicationFixed-Point Designer: Explore signal ranges and convert Simulink models using data type optimization

Automotive
Perception System Design
New Lidar Sensor Model: Generate synthetic point clouds from programmatic driving scenariosNew Tracking Examples: Fuse radar and lidar tracks, perform track-to-track fusion in SimulinkUnreal Engine® Compatible Sensor Models: Integrate your Simulink model with a camera, lidar, or radar sensor model simulating in an Unreal Engine sceneMonocular Camera Parameter Estimation: Configure a monocular camera by estimating its extrinsic parametersRadar Sensor Model Enhancements: Model occlusions in radar sensorsSensor fusion and tracking examplesPath Planning: Plan driving paths using an RRT* path planner and costmapLidar Segmentation: Quickly segment 3D point clouds from lidar

Test and Verification
New MDF Read on Linux: Open and read MDF files on Linux platformMDF File Information and Sorting Functions: Quickly access MDF file metadata and sort the contents of an MDF fileMDF File Import Performance: Open and read MDF files significantly faster than in previous releasesKinematics and Compliance Virtual Test Laboratory: Generate mapped suspension calibration parameters from spreadsheet dataVector BLF File Format Support: Read and write binary BLF logging files from MATLABPrebuilt Driving Scenarios: Test driving algorithms using Euro NCAP® and other prebuilt scenariosOpenDRIVE® File Import Support: Load OpenDRIVE roads into a driving scenarioDriving Scenario Designer: Interactively define actors and driving scenarios to test controllers and sensor fusion algorithmsPreassembled maneuvers for common ride and handling tests, including a double-lane change and constant radius test

Ground Truth Labeling
New Lidar labeling: Label lidar point clouds to train deep learning modelsNew Multisignal Ground Truth Labeling: Label multiple lidar and video signals simultaneouslyGround Truth Labeling: Organize labels by logical groupsDefine multiple custom labels in Ground Truth Labeler connectorGround Truth Pixel Labeling: Interactively label individual pixels in video dataGround Truth Label Attributes: Organize and classify ground truth labels using attributes and sublabels

Visualization
New 3D Simulation Version Upgrade: Run 3D simulations using Unreal Engine, Version 4.23New Headless Mode: Run 3D simulations without opening the Unreal Engine 3D visualization display3D Simulation: Develop, test, and verify driving algorithms in a 3D simulation environment rendered using the Unreal Engine by Epic Games®Unreal Engine Scenes: Use prebuilt 3D scenes, including a parking lot, highway segment, and Mcity, or create your own custom scene with the Unreal EditorHERE HD Live Map Reader: Read and visualize data from high-definition maps designed for automated driving applicationsUnreal Engine 4 Interface: Use support package to customize and install additional 3D scenesManeuver Reference Applications: Use 3D environment ray tracing to determine ground location under tires during vehicle maneuverBird's-Eye Scope for Simulink: Analyze sensor coverages, detections, and tracks in your model

Electrification
Virtual Calibration: Use Model-Based Calibration Toolbox™ to calibrate Mapped Motor and Three-Phase Voltage Source Inverter block efficiency maps with measured dataGetting Started Example: Generate current controller calibration tables for flux-based motor controllersLibraries of propulsion, steering, suspension, vehicle body, brake, and tire componentsFlux-Based Motor Parameterization: Generate parameters for Flux-Based PMSM and Flux-Based PM Controller blocks​Battery Parameterization: Generate parameters for Datasheet Battery and Equivalent Circuit Battery blocks

Engine Calibration
Deep Learning Engine Model: Generate a deep learning engine model for algorithm design and performance, fuel economy, and emissions analysisASAM CDFX File Format Support: Import, export, and modify files in calibration data file format (CDFX)Timestamp Support for XCP Blocks: Communicate timestamped data between Simulink models and XCP slavesVirtual Calibration: Use Model-Based Calibration Toolbox to calibrate SI and CI mapped engine blocksCI and SI Engine Dynamometer Reference Applications: Resize engines and recalibrate controllers based on desired engine displacement and number of cylinders

Fuel Economy and Performance Analysis
New Vehicle and Trailer Blocks: Implement 3DOF trailers and vehicles with three axlesNew Transmission Control Module: Optimize shift schedules for algorithm design and performance, fuel economy, and emissions analysisHEV Reference Applications: New or updated reference applications for single-motor HEV architectures P0, P1, P2, P3, and P4. Fully assembled models use a new equivalent consumption minimization strategy (ECMS) for the supervisory hybrid controlPowertrain Efficiency: Evaluate and report energy and power losses at the component and system levelHEV Input Power-Split Reference Application: Use fully assembled model for HIL testing, tradeoff analysis, and control parameter optimization of a power-split hybrid like the Toyota Prius

AUTOSAR
New AUTOSAR Adaptive Platform Release 19-03: Use the 000047 (R19-03) schema to import and export ARXML files and generate AUTOSAR-compatible C ++ codeBlocks for Basic Software Services: Use blocks for modeling and simulating Basic Software services, including Diagnostic Event , Function Inhibition and NVRAM Manager blocksCreate AUTOSAR Architecture Models: Author AUTOSAR compositions, view component/composition dependencies via spotlights and simulate functional behavior with basic software services using Composition Editor (requires System Composer™). Then you can generate and package composition arxml descriptions and component code (requires Embedded Coder®).AUTOSAR SW-C App: Easily configure a model as AUTOSAR classic component or adaptive application

Motor Control Blockset
Motor Control Blockset™ provides Simulink® blocks that let you create an accurate motor model. The blockset also provides tools for collecting data directly from hardware and calculating motor parameters.

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[KAMAL]

Wondershare Filmora 9.5.0.33 Multilingual (MacOSX)






Wondershare Filmora 9.5.0.33 Multilingual (MacOSX) | 280 MB | Language: Multilanguage

Wondershare Filmora is an easy-to-use yet powerful video-editing app to edit and retouch videos with rich video and photo editing functions like trimming, cropping, rotating, adding stylish titles, applying filter effects, inserting transition and motion effects, etc.


Wondershare Filmora is an easy-to-use yet powerful video-editing app to edit and retouch videos with rich video and photo editing functions like trimming, cropping, rotating, adding stylish titles, applying filter effects, inserting transition and motion effects, etc. Furthermore, you can export videos to various popular video formats and portable devices for wider sharing and enjoyment or directly upload them to YouTube for sharing with family and friends. It also enables you to burn videos to DVD discs for better video preservation.

Other Features:
* Support importing all popular videos, audios and photos for editing.
* Trim, crop, and rotate videos freely & add voiceover and background music.
* Retouch videos and photos with rich filters, titles, transitions and motions.
* Save videos to local or portable devices or directly share to YouTube.
* Burn the edited videos to DVD for better video preservation.

Compatibility: OS X 10.10 or later 64-bit.

Homepage:

https://filmora.wondershare.com

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[KAMAL]

DxO PhotoLab 3 ELITE Edition 3.3.1.57 Multilingual (MacOSX)






DxO PhotoLab 3 ELITE Edition 3.3.1.57 Multilingual (MacOSX) | 324 MB | Language: Multilanguage

DxO PhotoLab (was DxO Optics Pro) provides a complete set of smart assisted corrections that you can manually fine-tune at any time. Take control on every aspect of your photos: effectively remove noise, get rid of light constraints, recover color details, apply sophisticated optical corrections, and enhance details.


DxO PhotoLab 3's new HSL (Hue, Saturation, and Luminance) Tool is an exciting and superbly visual way to manage color that can help you produce more creative and natural-looking images. The new DxO ColorWheel is a fantastic new color adjustment tool that you can use to select color ranges from eight separate channels, including orange and purple.
The DxO ColorWheel can fine-tune color values, select replacement colors, and it can even adjust transitions and tints for truly distinctive effects.


Features:
- DxO Smart Lighting
- DxO ClearView
- DxO PRIME
- Optical Corrections
- Introducing U Point

Compatibility: OS X 10.11 or later 64-bit.

Homepage:

http://www.dxo.com

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[KAMAL]

CleanMyMac X 4.6.5 Multilingual (MacOSX)






CleanMyMac X 4.6.5 Multilingual (MacOSX) | 58 MB | Language: Multilanguage

CleanMyMac X is all-in-one package to awesomize your Mac. It cleans megatons of junk and makes your computer run faster. Just like it did on day one. CleanMyMac X chases junk in all corners of your macOS. It cleans unneeded files, like outdated caches, broken downloads, logs, and useless localizations.


You can remove tons of clutter that lurks in iTunes, Mail, Photos, and even locate gigabytes of large hidden files. Mac cleaning tools in CleanMyMac X will cut the extra weight in seconds.

Each time your Mac stalls, you got a full deck of speedup tools: Free up RAM, Maintenance scripts, controls for Login Items, Launch Agents, and Hung Applications. This will lessen your system load and tune the Mac for maximum performance. When your machine is productive, you too are productive.

Are there viruses on Mac? Not on yours, if you try Mac cleaning with CleanMyMac X. It fights off malware, adware, ransomware, and all them -wares that are specific to the macOS. When the issue is found, the app deletes it right away. We update our malware database regularly and CleanMyMac X's Protection module always has your back.

To make your Mac life more orderly, you got a cool duet of Uninstaller and Updater. The first fully removes apps you don't want, and the second, instantly updates all your software. Bad apps are removed completely and new ones always arrive in time. This helps fix software conflicts and keeps your Mac forever young.

FEATURES:
- Easy to use, user-friendly interface
- Drag and drop nature
- Slims universal binaries
- Removes useless language translations
- Most accurate application uninstallation
- Quick and Secure file eraser
- Manages widgets, plugins and preference panes
- Erases garbage left from previously removed applications and widgets
- Monitors your Trash helping you to uninstall trashed applications correctly
- Keeps an eye on your removable devices to clean them up from junk service files

Compatibility: OS X 10.10 or later 64-bit.

Homepage:

http://macpaw.com

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[KAMAL]

Red Giant Complete Suite 2020 (x64)






Red Giant Complete Suite 2020 (x64) | 4.5 GB | Language: English | Windows 64bit Only

Red Giant Complete is a subscription service that gives you all of our tools at one low price. With an annual subscription to Red Giant Complete, you'll always have the most up-to-date version of our tools and you will save thousands of dollars over traditional perpetual licenses [Full Details Inside].


Red Giant Complete is a subscription service that gives you all of our tools at one low price. With an annual subscription to Red Giant Complete, you'll always have the most up-to-date version of our tools and you will save thousands of dollars over traditional perpetual licenses.


Requires:
Windows 10 x64.
Adobe CC 2017 or later.

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[KAMAL]

Cadence SPB Allegro and OrCAD 17.20.000-2016 HF068 x64






Cadence SPB Allegro and OrCAD 17.20.000-2016 HF068 x64 | 3.9 GB | Language: English

Cadence Design Systems, Inc. , the leader in global electronic design innovation, has unveiled a new of improvements to the Cadence SPB Allegro and OrCAD 17.20 families of products aimed at boosting performance and productivity through improvements features and big fixed issues.



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CCRID Product ProductLevel2 Title
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2238259 ADW ADWSERVER Designer server is shutting down and cannot be restarted
2252163 ADW ADWSERVER Designer server has stopped working several times
2241655 ADW DBEDITOR Version uprev of model with every check-in if the model is renamed
2238666 ALLEGRO_EDITOR DFM DFF Silkscreen constraints showing DRC even though there is no violation.
2279904 ALLEGRO_EDITOR DFM Design True DFM Wizard crashing
2251943 ALLEGRO_EDITOR DXF DXF out result is different between release 16.6 and release 17.2-2016.
2263977 ALLEGRO_EDITOR EDIT_ETCH Diff pair disappears when one of the nets is moved
2268412 ALLEGRO_EDITOR EDIT_ETCH When Sliding a diff pair, one of the legs disappears
2252802 ALLEGRO_EDITOR INTERFACES Intensity of color changes on subsequent pages with PDF Export in black and white
2267096 ALLEGRO_EDITOR INTERFACES Export PDF is creating different colors for same layer combination
2267963 ALLEGRO_EDITOR INTERFACES Difference in PDF between HotFix 003 and HotFix 006: Active layer color displayed for assembly layer text
2269613 ALLEGRO_EDITOR INTERFACES File> Export> PDF does not output panel imposition outlines.
2270690 ALLEGRO_EDITOR INTERFACES Export PDF: Page Setup tab has settings for Global Text Size but these settings only appear to adjust the text position
2270695 ALLEGRO_EDITOR INTERFACES Custom colors assigned in Color 192 used even if 'Hide custom colors' is enabled
2273868 ALLEGRO_EDITOR INTERFACES PDF Export does not respect layer ordering
2273934 ALLEGRO_EDITOR INTERFACES PDF Export does not respect disabled custom colors
2240781 ALLEGRO_EDITOR NC Slot drill symbol figure issue: Rotation inconsistent with slot drill symbol figure
2265146 ALLEGRO_EDITOR PAD_EDITOR Cannot save padstack after shape symbol with offset is uprevved from release 16.6 to release 17.2-2016
2265711 ALLEGRO_EDITOR PAD_EDITOR Padstack Editor creating horizontal oblong padstacks with incorrect figure name OBLONG_X
2257934 ALLEGRO_EDITOR PLACEMENT Error (SPMHGE-626) on place component: Symbol not valid on any layer
2265390 ALLEGRO_EDITOR UI_GENERAL Mark device using the same substrate as its parent as a contact device
2259598 CONSTRAINT_MGR OTHER Importing netlist: Error for electrical constraint data (pstcmdb.dat) import
2242028 PULSE SERVER ERROR (SPDWSRV-00077): Unable to start the Allegro EDM server
2280836 SIP_LAYOUT OTHER Undefined padstack layer name
2251630 SIP_LAYOUT WIREBOND 'Change Profile' does not change the diameter of wire bond
2259630 SIP_LAYOUT WLP Advanced WLP: Import PVS DRC results in error
Cadence Design Systems announced new capabilities for OrCAD Capture, PSpice Designer and PCB Designer 17.2-2016 that address challenges with flex and rigid-flex design as well as mixed-signal simulation complexities in IoT, wearables and wireless mobile devices. This latest release reduces PCB development time by addressing the need to design reliable circuits for smaller, more compact devices.
This OrCAD portfolio includes new advanced technology enabled for integrated rigid-flex planning, design and real-time visualization, as well as built-in translators that enable direct design imports from select EDA vendors. PSpice Designer now supports system-level simulation using C/C++/SystemC and VerilogA, via the new PSpice compact model interface. This enables hardware/software virtual prototyping so that electrical engineers can design and simulate intelligent IoT devices. OrCAD is the only fully scalable PCB design solution available in the market that seamlessly transitions from mainstream to enterprise PCB solution with the Allegro environment.
To enable a faster and more efficient flex and rigid-flex design creation critical to IoT, wearables and wireless devices, the OrCAD portfolio uses a new multi-stack-up database capability and extensive in-design inter-layer checks, which helps users avoid errors introduced through manual checking. The OrCAD portfolio also features enhancements targeted towards improving PCB editors' productivity and ease-of-use in padstack editing, constraint management, shape editing and in-design DRCs. To address efficiency needs, the portfolio includes an advanced design differencing engine that enables design review with global teams using state of art visuals. Finally, to give designers more control over their design component annotation process, advanced annotation and auto-referencing capabilities are now available.
Starting with OrCAD and Cadence Allegro PCB - Tutorial for Beginners

Cadence enables global electronic design innovation and plays an essential role in the creation of today's integrated circuits and electronics. Customers use Cadence software, hardware, IP and services to design and verify advanced semiconductors, consumer electronics, networking and telecommunications equipment, and computer systems. The company is headquartered in San Jose, Calif., with sales offices, design centers and research facilities around the world to serve the global electronics industry.


Product: Cadence SPB Allegro and OrCAD (Including EDM)
Version: 17.20.000-2016 HF068
Supported Architectures: x64
Website Home Page :

http://www.cadence.com

Language: english
System Requirements: PC *
Supported Operating Systems: *
Software Prerequisites: Cadence SPB Allegro and OrCAD 17.20.000-2016 and above
Size: 3.9 Gb

Cadence Allegro and OrCAD 17.2-2016 Hardware and Software Requirements:
Operating System:
Microsoft Windows 7 Professional, Enterprise, Ultimate or Home Premium (64-bit); Windows 8 (64-bit) (All Service Packs); Windows 10 (64-bit); Windows 2008 R2 Server; Windows 2012 Server (All Service Packs).
Note:Cadence Allegro and OrCAD (Including EDM) products do not support Windows 7 Starter and Home Basic. In addition, Windows Server support does not include support for Windows Remote Desktop. Windows RT and Tablets are not supported.
Minimum Hardware:
- Intel Pentium 4 or AMD Athlon XP 2000 with multi-core CPU
- Ram:8 GB RAM
- Virtual memory at least twice physical memory
- 50 GB free disk space
- 1,024 x 768 display resolution with true color (16-bit color)
- Broadband Internet connection for some service
- Ethernet card (for network communications and security hostID)
- Three-button Microsoft-compatible mouse
Recommended Hardware:
- Intel Core 2 Duo 2.66 GHz or AMD Athlon 64 X2 5200+
- Note: Faster processors are preferred.
- RAM:8 GB RAM
- Disk:500 GB free disk space
- Display:1,280 x 1024 display resolution with true color (at least 32bit color)
- GPU:A dedicated graphics card
- Displayual monitors
- Microsoft Internet Explorer 11.0 or later.

DOWNLOAD LINKS:

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[KAMAL]

iZotope Ozone Advanced v9.1.0a (MacOSX)






iZotope Ozone Advanced v9.1.0a (MacOSX) | 338 MB | Language: English

Building on a 17-year legacy, Ozone 9 brings balance to your music with the latest advances in machine learning for mastering audio. Never before seen processing for low end, real-time instrument separation, and lightning-fast workflows powered by machine learning-it's all here in Ozone 9. Watch the video and take a tour to learn what's new!


AI-powered mastering
Master Assistant can add modern or vintage vibes and help you get the right loudness for streaming.

Match to your reference
The new Match EQ module can give you a custom EQ curve taken from your favorite reference tracks.

Find your (tonal) balance
Tonal Balance Control helps keep frequencies in line, letting you talk to iZotope plug-ins to fix issues accross your session.

NKS Support
NKS support puts the power of Ozone into your creative process, letting you master while making music with Maschine or Komplete Kontrol. Open Ozone on the fly and easily add professional polish while making music on your hardware using hundreds of different presets and accessible parameters mapped to your hardware controls. Add loudness, width, and EQ without touching your DAW and keep the creative juices flowing.

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[KAMAL]

CrossOver 19.0.2 Multilingual (MacOSX)






CrossOver 19.0.2 Multilingual (MacOSX) | 239 MB | Language: Multilanguage

Run Microsoft Windows software on your Mac without buying a Windows license, rebooting or using a virtual machine. CrossOver Mac makes it easy to launch Windows apps natively from the dock, and integrates Mac operating system functionality like cross-platform copy & paste and shared file systems to your Windows programs.


Easy Installs! Many Windows titles can be installed using our CrossTie technology. If you have CrossOver installed, and have the installer for your Windows software, simply click the button in our Compatibility Database, and CrossOver will automatically install your application for you!

Compatibility: OS X 10.10 or later.

Homepage:

https://www.codeweavers.com

DOWNLOAD LINKS:

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[KAMAL]

Topaz Gigapixel AI 4.9.4.1 (x64)






Topaz Gigapixel AI 4.9.4.1 (x64) | 1.1 GB | Language: English

Beautiful photo enlargements using machine learning. Enlarging your image without losing detail has always been impossible... until now. Upscale your photos by up to 600% while perfectly preserving image quality.


Enlarge Images by up to 600%
Create a beautiful 80 x 60 inch print from a simple iPhone photo. Or transform your DSLR photos into sharp and ultra-detailed 100MP images.

Use truly intelligent upscaling
After being trained with millions of sample images, Gigapixel can now enlarge your images with a surprising level of quality.

Get crisp and clear results.
Gigapixel performs around 2 million operations per pixel to get you results with as much detail and sharpness as possible.

No more fuzzy enlargements.
Breathtakingly sharp prints. High-resolution cropping in post-production. iPhone photos that look like they came out of a DSLR. No matter why you're enlarging your photos, you always want the best possible quality for your results. AI Gigapixel is currently the only photo enlargement product available that can actually add detail back to your upscaled photo.

Recover real details for actual sharpness
Increasing edge contrast is the simplest way to make an image look "sharp", and how most other upscaling software works. Gigapixel is different: it increases the actual sharpness of your upscaled photo by recovering real detail in your image. This is only possible through training and exposure to millions of test images.

Crisp photos that look like they were never upscaled
It's hard to believe that the crisp output image above was enlarged 4x, but it was. Gigapixel AI successfully determines which image features are stars (detail) and what's noise. Then, it naturally accentuates and recovers detail while suppressing noise in your upscaled photo.

The highest-quality image upscaling that you can get anywhere
Because of these exceptional results, Gigapixel AI is used by everyone from leading photographers, to video game modders, to major motion studios. If you ever need to upscale your photo while preserving beautiful detail, take advantage of the most modern technology in the space and give Gigapixel AI a try.

Image enlargement: interpolation vs machine learning
Interpolation-based photo enlargement software has been around for decades. Gigapixel's new approach based on machine learning is a giant leap ahead: state-of-the-art "deep learning" methods allow it to enlarge images while actually adding new details.

Interpolation
Interpolation algorithms work by approximating new pixels from the colors of surrounding ones. This does not add any detail to the image, it just smoothes out the transition between pixels.

Neural Network (Gigapixel AI)
A neural network analyzes thousands of photo pairs to learn how details usually get lost. The algorithm learns to "fill in" information in new images based on what it has learned... effectively adding new detail to your photo.

Operating System Version:
- Windows 7 x64
- Windows 8/8.1 x64
- Windows 10 x64

Hardware Requirements:
- System RAM: 8GB / 16GB recommended
- GPU VRAM: 2GB / 4GB recommended

Graphics Card Requirements:
- NVIDIA: GeForce GTX 770 2GB / GeForce GTX 960 4GB recommended
- AMD: Radeon HD 8570 2GB / Radeon R9 270 4GB recommended
- Intel: HD Graphics 5000 / Iris Plus Graphics 640 recommended

Homepage -

https://topazlabs.com/ai-gigapixel/

DOWNLOAD LINKS:

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[KAMAL]

NI LabVIEW NXG 5.0 FPGA Module x64 Multilingual






NI LabVIEW NXG 5.0 FPGA Module x64 Multilingual | 7.3 GB | Language: Multilanguage

Languages: English, Français, Deutsch, 日本語, 한국어, 中文.

National Instruments is pleased to announce the availability of NI LabVIEW NXG 5.0 FPGA Module. This Module enables engineers and scientists to develop, debug, and deploy custom FPGA code for NI hardware with user-programmable FPGAs.


New Features and Changes - Date: May 19, 2020
Refer to the list below to learn what's new or changed in the LabVIEW NXG 5.0 FPGA Module.
New Features
- Support for C series FPGA targets-Use the new Read Write I/O (G Dataflow) and Read Write I/O (Clock-Driven Logic) nodes to perform FPGA I/O operations on C series FPGA targets outside or inside a Clock-Driven Loop. Use the new Set Output Enable (G Dataflow) node to determine whether to allow the C series digital input and output resource to write data outside a Clock-Driven Loop.
- Accessing local FIFOs outside a Clock-Driven Loop-Use the following new FIFO nodes to manipulate FIFO data outside a Clock-Driven Loop:
. Clear FIFO (G Dataflow)
. FIFO Property (G Dataflow)
. Flush FIFO (G Dataflow)
. Peek FIFO (G Dataflow)
. Read FIFO (G Dataflow)
. Write FIFO (G Dataflow)

The LabVIEW NXG FPGA Module is the next generation of LabVIEW development software for FPGAs. The module provides an integrated development environment, easy hardware and resource organization, and improved simulation and debugging features to help you more easily program FPGAs. You can create FPGA VIs to define custom hardware for tasks such as digital signal processing, closed-loop control, digital protocol communication, and fault detection. You can also use the LabVIEW NXG FPGA Module to integrate existing hardware description language (HDL) code as well as third-party IP.

Introduction to the LabVIEW FPGA NXG Module for High-Performance Applications

Since 1976, National Instruments has equipped engineers and scientists with tools that accelerate productivity, innovation and discovery. NI's graphical system design approach to engineering provides an integrated software and hardware platform that speeds the development of any system needing measurement and control. The company's long-term vision and focus on improving society through its technology supports the success of its customers, employees, suppliers and shareholders.


Product: NI LabVIEW NXG 5.0 FPGA Module
Version: 8.1.0
Supported Architectures: x64
Website Home Page :

http://www.ni.com

Language: English, Français, Deutsch, 日本語, 한국어, 中文
System Requirements: PC *
Supported Operating Systems: *
Software Prerequisites: *
Supported Hardware: *
Size: 7.3 Gb

System Requirements
- LabVIEW NXG 5.0
- At least 35 GB of free disk space
- 8 GB RAM
Supported Operating System
The LabVIEW NXG 5.0 FPGA Module supports the following operating systems:
- Windows 10 (version 1909) / 8.1 Update 1* / 7 SP1* (64-bit)
- Windows Server 2016
- Windows Server 2012 R2 Update*
- Windows Server 2008 R2 SP1**
Note: On Windows 8.1/Server 2012 R2/Server 2008 R2 SP1, some features, such as local compile, Optimized FPGA VIs, simulation of FPGA code that includes Xilinx IP or HDL code, are not supported because these features require the Xilinx compilation tools which do not support these OSes. Using these features on these OSes may result in unpredictable results.
* NI software installs VC2015 Runtime and .NET 4.6.2. Windows 8.1 and Windows Server 2012 R2 require Microsoft updates to support these items.
** NI software is signed with a SHA-256 certificate. Windows 7 SP1, Windows Embedded Standard 7 SP1, and Windows Server 2008 R2 SP1 require Microsoft updates to support SHA-256.
Supported Hardware and Drivers
This product supports the following hardware:
This product supports the following CompactRIO Controllers.
- cRIO-9040
- cRIO-9041
- cRIO-9042
- cRIO-9043
- cRIO-9045
- cRIO-9046
- cRIO-9047
- cRIO-9048
- cRIO-9049
- cRIO-9053
- cRIO-9054
- cRIO-9055
- cRIO-9057
- cRIO-9058
This product supports the following C Series Modules.
- NI 9201
- NI 9203
- NI 9205
- NI 9206
- NI 9221
- NI 9263
- NI 9264
- NI 9265
- NI 9266
- NI 9269
- NI 9401
This product supports the following PXI FPGA Modules for FlexRIO:
- PXIe-7971
- PXIe-7972
- PXIe-7975
- PXIe-7976
This product supports the following FlexRIO Adapter Modules:
Digitizer Adapter Modules for FlexRIO
- NI-5732
- NI-5733
- NI-5734
- NI-5751B
- NI-5761
- NI-5771
- NI-5772
Signal Generator Adapter Modules for FlexRIO
- AT-1212
Transceiver Adapter Modules for FlexRIO
- NI-5782
- NI-5783
RF Adapter Modules for FlexRIO
- NI-5791
- NI-5792
- NI-5793
Digital I/O Adapter Modules for FlexRIO
- NI-6581B
- NI-6583
- NI-6584
- NI-6585B
- NI-6589
This product supports the following USRP Software Defined Radio Reconfigurable Devices:
- USRP-2940
- USRP-2942
- USRP-2943
- USRP-2944
- USRP-2950
- USRP-2952
- USRP-2953
- USRP-2954
This product supports the following NI drivers:
- FlexRIO
- NI CompactRIO
- NI-USRP

DOWNLOAD LINKS:

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