Validate Generated Code with Processor-in-the-Loop Simulation
Test the behavior of generated code by running it on Raspberry Pi hardware and comparing results with Simulink simulations for reliable code validation.
For more information on the product stack required for Simulink PIL simulation using Raspberry Pi Blockset, see Product Stack for Raspberry Pi Blockset.
Topics
- Product Stack for Raspberry Pi Blockset
Identify minimum required product(s) for Raspberry Pi Blockset to best suit your end goals.
Related Information
Featured Examples
Support NE10 Library C Code Generation of dsp.FIRFilter in MATLAB Function Block
Use the Code Replacement Library (CRL) for Raspberry Pi® hardware with DSP System object™. The model uses a MATLAB Function (Simulink) that contains a dsp.FIRFilter System object to filter two sine waves of different frequencies.
Verify FIR Filter on Raspberry Pi Hardware
Use the Code Replacement Library (CRL) for Raspberry Pi® hardware with DSP blocks. The model uses the FIR filter block to filter two sine waves of different frequencies.
Speech Command Recognition on Raspberry Pi Using Simulink
Deploy feature extraction and a convolutional neural network (CNN) for speech command recognition on Raspberry Pi®. In this example you develop a Simulink® model that captures audio from the microphone connected to the Raspberry Pi board and performs speech command recognition. You run the Simulink model on Raspberry Pi in External Mode and display the recognized speech command. For details about audio preprocessing and network training, see Train Deep Learning Network for Speech Command Recognition (Audio Toolbox).
