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.
Learn the basics of Signal Processing Toolbox
Create, resample, smooth, denoise, and detrend signals
Peaks, signal statistics, pulse and transition metrics, power, bandwidth, distortion
Cross-correlation, autocorrelation, cross-covariance, autocovariance, linear and circular convolution
FIR and IIR, single-rate and multirate filter design, analysis, and implementation
Fourier, chirp Z, DCT, Hilbert, cepstrum, Walsh-Hadamard
Power spectrum, coherence, windows
Spectrogram, cross-spectrogram, synchrosqueezing, reassignment, Wigner-Ville, Hilbert-Huang, kurtogram
Linear prediction, autoregressive (AR) models, Yule-Walker, Levinson-Durbin
Order analysis, time-synchronous averaging, envelope spectra, modal analysis, rainflow counting
Signal labeling, feature engineering, dataset generation