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Embedded MATLAB- Real-Time Deployment on ARM, FPGA, and GPU: A Hands-On Guide to Simulink Coder, HDL Coder, and Board Support Packages for NVIDIA Jets
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Publisher: Independently Published
Published: Jan 20 2026
Pages: 288
Weight: 1.11
Height: 0.60 Width: 7.00 Depth: 10.00
Language: English
Embedded MATLAB serves as the definitive bridge between abstract design and tangible deployment.1 This hands-on guide dismantles the barriers of manual coding, empowering you to translate sophisticated Simulink models directly into optimized C/C++, HDL, or CUDA code for the industry's most versatile platforms.
What you will master:
Accelerate Development: Bypass error-prone manual coding by mastering Simulink Coder and Embedded Coder for instantaneous, production-ready C/C++ generation.
Conquer Heterogeneous Hardware: Deploy seamlessly across ARM Cortex-M (STM32) for embedded control, FPGAs for high-speed logic via HDL Coder, and NVIDIA Jetson GPUs for high-performance AI and CUDA applications.
Leverage Board Support Packages (BSPs): Eliminate setup headaches by effectively utilizing BSPs to interface Simulink directly with peripherals and sensors.
Verify in Real-Time: Implement Processor-in-the-Loop (PIL) and Hardware-in-the-Loop (HIL) workflows, and utilize External Mode for live parameter tuning and data visualization without halting the system.
Stop simulating and start deploying. Secure your copy today and engineer the future of real-time systems.
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