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This webinar demonstrates the deployment of a Wireless System on an RFSoC device using Model-Based Design with MATLAB and Simulink. The talk emphasizes the benefits of this approach including system-level modeling, automated code generation, earlier verification, and faster adaptation to specification changes.

MATLAB EXPO brings together engineers, researchers, and scientists to hear real-world examples, get hands-on demonstrations, and learn more about the latest features and capabilities of MATLAB and Simulink.

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...

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.

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.

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.

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.

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.

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.