Signal Processing
R2026bGenerate optimized C/C++ code from signal processing algorithms for deployment in real-time systems, streaming applications, and embedded hardware. These examples illustrate code generation workflows for filtering, spectral analysis, adaptive algorithms, and audio and speech processing pipelines that can operate outside the MATLAB environment.
Featured Examples
C Code Generation for a MATLAB Kalman Filtering Algorithm
Generate C code for a MATLAB® Kalman filter function, which estimates the position of a moving object based on past noisy measurements.
Generate C++ Code That Analyzes Vibration Signals from Rotating Machinery
Generate deployable code that identifies faults in gearbox.
System Identification Using RLS Adaptive Filtering
Use a recursive least-squares (RLS) filter to identify an unknown system modeled with a lowpass FIR filter. Use the dynamic filter visualizer to compare the frequency response of the unknown and estimated systems. This example allows you to dynamically tune key simulation parameters using a user interface (UI). The example also shows you how to use MATLAB Coder™ to generate code for the algorithm and accelerate the speed of its execution.
G.729 Voice Activity Detection
Implement the ITU-T G.729 Voice Activity Detector (VAD)
Generate C++ Code for MATLAB Class That Performs Acoustic Echo Cancellation (AEC)
Generate and test C++ static library that performs acoustic echo cancellation.
Generate Accelerated MEX Code for Reverberation Using MATLAB Classes
Accelerate the execution of a MATLAB algorithm that uses MATLAB classes.
Multithreaded MEX File Generation
Use the dspunfold function to generate a multithreaded MEX file from a MATLAB® function using unfolding technology. The MATLAB function can contain an algorithm which is stateless (has no states) or stateful (has states).
Generate a Multithreaded MEX File from a MATLAB Function Using Unfolding
Use the dspunfold function to generate a multithreaded MEX file from a MATLAB® function.
Use Generated Code to Accelerate an Application Deployed with MATLAB Compiler
Use MATLAB Coder™ to accelerate an algorithm used by an application that you intend to deploy with MATLAB Compiler™.
Generate and Deploy Optimized Code for Wavelet Time Scattering on ARM Targets
Generate optimized C++ code on a Raspberry Pi®.
