For an example refer to Verify FIR Filter on ARM Cortex-M Processor.
MATLAB R2013A SIMULINK TUTORIAL FULL
This enables a full workflow for Model-Based Design of STMicroelectronics Discovery Board. In addition, with Embedded Coder Support Package for STMicroelectronics STM32F4-Discovery board, you can perform on-target rapid prototyping of Simulink models using the board’s peripheral devices and timers.
MATLAB R2013A SIMULINK TUTORIAL VERIFICATION
When Embedded Coder support package and the DSP System Toolbox™ support package for ARM Cortex-M are installed, you can perform code verification using PIL tests and code optimization using select DSP System Toolbox filters in Simulink such as FIR. To learn more about the specific Discovery boards and compilers supported for each MathWorks release, see the settings in the Target Hardware Resources section of the Code Generation Configuration Parameters provided with Embedded Coder. Embedded Coder lets you easily configure the code generated from MATLAB ® and Simulink ® algorithms to control software interfaces, optimize execution performance, and minimize memory consumption.Įmbedded Coder provides additional support for the STM32F746G, STM32F769I and STM32F4-Discovery boards that includes automated build and execution, processor-optimized code for ARM ® Cortex-M, the ability to perform processor-in-the-loop (PIL) tests with execution profiling, block libraries for on-chip and on-board peripherals, and deployment support using built-in scheduler. MATLAB Coder™, Simulink Coder™, and Embedded Coder ® generate ANSI ®/ISO ® C/C++ code that can be compiled and executed on STMicroelectronics ® Discovery Boards.
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