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TechSource Systems Pte Ltd

Radar System Engineering: From Requirements to Deployment

July 12, 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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TechSource Systems Pte Ltd

MATLAB with TensorFlow and PyTorch for Deep Learning

July 12, 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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TechSource Systems Pte Ltd

Optimize FPGA and ASIC Speed and Area Using HDL Coder

June 16, 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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TechSource Systems Pte Ltd

Satellite Communications and NTN Design with MATLAB

June 16, 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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TechSource Systems Pte Ltd

Prototyping and Verifying Wireless Systems on FPGAs and ASICs

June 16, 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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TechSource Systems Pte Ltd

Getting Started with Deep Learning for Radar Systems

May 5, 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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TechSource Systems Pte Ltd

Simulating Land and Sea Surfaces in Dynamic Radar Scenarios

April 12, 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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TechSource Systems Pte Ltd

Wireless Positioning and Localization Design with MATLAB

April 12, 2022

Positioning and Localization have a big role to play in the next generation of wireless applications. Positioning is finding the location co-ordinates of the device, whereas localization is a feature-based technique where you get to know the environment in a specific geography. There are various approaches taken by different standards such as 5G/ WLAN/ Bluetooth/ UWB to identify the position of the device. In this webinar, we will discuss various techniques used to design a system which determine the position of the user.

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TechSource Systems Pte Ltd

Next Generation Aerospace: Radar Sensor Development

April 12, 2022

Multi-function sensors, improved sensor fusion capabilities, etc. require new methodologies, tools and development environments to maximize the final success next generation projects. Join us in this webinar to know more about the design and implementation of a multi-function radar system using all capabilities provided by MathWorks tools and methods.

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