Embedded Coder Support Package for BeagleBone Black Hardware
Generate code optimized for BeagleBone Black.
7,8K Descargas
Actualizado
15 oct 2025
Capabilities and Features
You can design models in Simulink, generate code using Embedded Coder, and run the executables on BeagleBone® Black, a low-cost, single-board computer designed for digital signal processing.
Embedded Coder support for BeagleBone Black includes:
- Automated installation and configuration
- Library of Simulink blocks that connect to BeagleBone Black I/O such as audio input and output, video input and display, and UDP send and receive
- Interactive parameter tuning and signal monitoring of applications running on the BeagleBone Black
- Processor-in-the-Loop (PIL) testing for code verification and profiling
- Model deployment for standalone operation
- Access to prebuilt audio and video filters through add-on products such as Audio Toolbox and Computer Vision Toolbox
BeagleBone Black helps students understand the workflow for designing an embedded system without using manual programming. Students, educators, and hobbyists can use Simulink to create algorithms for audio processing and computer vision applications. They can apply industry-proven techniques for Model-Based Design to verify that their algorithms work during simulation. They can then implement the algorithms as standalone applications on the BeagleBone Black using automatic code generation. By default, the generated code is ANSI/ISO C/C++. For NEON optimized code for DSP filters, use the ARM Cortex A Ne10 Library Support from DSP System Toolbox.
Examples
Documentation
Solutions
This support package is functional for R2014b and beyond.
If you have download or installation issues, please contact Technical Support: www.mathworks.com/contact_ts
Compatibilidad con la versión de MATLAB
Se creó con
R2016b
Compatible con cualquier versión desde R2016b hasta R2026a
Compatibilidad con las plataformas
Windows macOS (Apple Silicon) macOS (Intel) LinuxCategorías
- Signal Processing >
- Code Generation > Embedded Coder > Deployment, Integration, and Supported Hardware > Embedded Coder Supported Hardware >
Más información sobre Signal Processing en Help Center y MATLAB Answers.
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