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Get Started with Signal Processing Toolbox

Perform signal processing and analysis

Signal Processing Toolbox™ provides functions and apps to analyze, preprocess, and extract features from uniformly and nonuniformly sampled signals. The toolbox includes tools for filter design and analysis, resampling, smoothing, detrending, and power spectrum estimation. The toolbox also provides functionality for extracting features like changepoints and envelopes, finding peaks and signal patterns, quantifying signal similarities, and performing measurements such as SNR and distortion. You can also perform modal and order analysis of vibration signals.

With the Signal Analyzer app you can preprocess and analyze multiple signals simultaneously in time, frequency, and time-frequency domains without writing code; explore long signals; and extract regions of interest. With the Filter Designer app you can design and analyze digital filters by choosing from a variety of algorithms and responses. Both apps generate MATLAB® code.


Featured Examples


What Is Signal Processing Toolbox?
Perform signal processing, signal analysis, and algorithm development using Signal Processing Toolbox.

Signal Processing for Machine Learning
This video presents a classification system able to identify the physical activity of a human subject based on smartphone-generated accelerometer signals.

Signal Analysis Made Easy with the Signal Analyzer App
Learn to perform signal analysis tasks in MATLAB with the Signal Analyzer app.

Introduction to Signal Processing Apps in MATLAB
Use Signal Analyzer to import, visualize, preprocess, and analyze an electrocardiogram signal.