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TechSource Events

Learn best practices of MATLAB and Simulink products, get answers from domain experts
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Beamforming for MU-MIMO in 5G New Radio

February 22, 2023

In this webinar, you will learn about single- and multi-user MIMO in 5G NR, as well as common beamforming techniques and scenarios. We will cover different techniques to estimate the channel or channel...

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Introduction to Simulink for System Modeling and Simulation

January 24, 2023

In this session you will learn the basics of Simulink for modIn this session you will learn the basics of Simulink for modeling, simulating, and analyzing multidomain dynamical systems. You will see how to build simulation models using Simulink’s block diagramming interface, customizable set of libraries, and connectivity to MATLAB.eling, simulating, and analyzing multidomain dynamical systems. You will see how to build simulation models using Simulink’s block diagramming interface, customizable set of libraries, and connectivity to MATLAB.

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Radar System Engineering: From Requirements to Deployment

August 23, 2022

Learn how synthesized radar data can be used to improve your design choices, how design models can be shared across organizations, and how testing data can be used to shorten integration cycles.

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MATLAB with TensorFlow and PyTorch for Deep Learning

August 23, 2022

MATLAB® and Simulink® with deep learning frameworks, TensorFlow and PyTorch, provide enhanced capabilities for building and training your machine learning models. Via interoperability, you can take full advantage of the MATLAB ecosystem and integrate it with resources developed by the open-source community. You can combine workflows that include data-centric preprocessing, model tuning, model compression, model integration, and automatic code generation with models developed outside of MATLAB.

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Optimize FPGA and ASIC Speed and Area Using HDL Coder

July 28, 2022

Learn how to use HDL Coder optimization and design techniques to meet your target-specific speed and area goals. HDL Coder offers techniques that span from automatic to fully-controlled, and all of them allow for rapid exploration of implementation options. This webinar will explain these options and their associated benefits and tradeoffs, including verification considerations, and will discuss techniques specific to FPGA and ASIC targeting.

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Satellite Communications and NTN Design with MATLAB

July 20, 2022

In this webinar, we introduce standard-based functionality in MATLAB for modeling, simulation, and testing of satellite communications systems. Visualize and model satellite orbits and perform visual access calculations and link budget analyses for integrated scenarios that include spacecraft, ground stations, and aircraft. Generate test waveforms based on DVB-S2/S2X/RCS2, CCSDS, and GPS standards.

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Prototyping and Verifying Wireless Systems on FPGAs and ASICs

July 1, 2022

In this talk, you will learn about how MATLAB and Simulink can be used for early ASIC design through pre-verified, hardware-ready reference applications for different wireless communication applications, reuse of algorithm models in production verification environments and FPGA based debugging workflows.

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Getting Started with Deep Learning for Radar Systems

June 21, 2022

Deep learning and machine learning techniques can be applied to a range of radar and wireless applications to meet the increased level of system requirements of operating in a crowded RF spectrum.

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Simulating Land and Sea Surfaces in Dynamic Radar Scenarios

May 25, 2022

Assessing radar performance in a representative environment, where the reflections from surrounding surfaces are considered is critical to ensure that a radar system design meets its performance requirements. In this webinar, we will demonstrate how to model surface reflections from land and sea in a radar scenario.

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