Documentation

Signal Processing Toolbox

Perform signal processing and analysis

Signal Processing Toolbox™ provides functions and apps to generate, measure, transform, filter, and visualize signals. The toolbox includes algorithms for resampling, smoothing, and synchronizing signals, designing and analyzing filters, estimating power spectra, and measuring peaks, bandwidth, and distortion. The toolbox also includes parametric and linear predictive modeling algorithms. You can use Signal Processing Toolbox to analyze and compare signals in time, frequency, and time-frequency domains, identify patterns and trends, extract features, and develop and validate custom algorithms to gain insight into your data.

Getting Started

Learn the basics of Signal Processing Toolbox

Signal Generation and Preprocessing

Create, resample, smooth, denoise, and detrend signals

Measurements and Feature Extraction

Peaks, signal statistics, pulse and transition metrics, power, bandwidth, distortion

Correlation and Convolution

Cross-correlation, autocorrelation, cross-covariance, autocovariance, linear and circular convolution

Digital and Analog Filters

FIR and IIR, single-rate and multirate filter design, analysis, and implementation

Transforms

Fourier, chirp-Z, DCT, Hilbert, cepstrum, Walsh-Hadamard

Spectral Analysis

Power spectrum, coherence, time-frequency analysis, windows

Signal Modeling

Linear prediction, autoregressive (AR) models, Yule-Walker, Levinson-Durbin