Code Generation and GPU Support

Generate portable C/C++/MEX functions and use GPUs to deploy or accelerate processing

After you develop your application using Signal Processing Toolbox™, you can generate portable C/C++ source code, standalone executables, or standalone applications from your MATLAB® code. With code generation, you can:

  • Run your simulation on machines that do not have MATLAB installed

  • Speed up processing while you work in MATLAB

Signal Processing Toolbox also includes functions that can target execution of an algorithm on a Graphics Processing Unit (GPU) rather than on a CPU. Some Signal Processing Toolbox functions can generate optimized CUDA® code for NVIDIA® GPUs from MATLAB code.

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Featured Examples

Accelerating Correlation with GPUs

Accelerating Correlation with GPUs

Use a graphics processing unit to accelerate cross-correlation in applications that involve large data sets.

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Deploy Signal Segmentation Deep Network on Raspberry Pi

Deploy Signal Segmentation Deep Network on Raspberry Pi

Generate a MEX function and a standalone executable to perform waveform segmentation on a Raspberry Pi™.

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Classify ECG Signals Using Long Short-Term Memory Networks

Classify ECG Signals Using Long Short-Term Memory Networks

Classify heartbeat electrocardiogram data using deep learning and signal processing.

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Waveform Segmentation Using Deep Learning

Waveform Segmentation Using Deep Learning

Segment human electrocardiogram signals using time-frequency analysis and deep learning.

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Signal Processing Toolbox Documentation

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