Signal Processing Toolbox
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和IIR、单频、多频滤波器德西gn, 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
Vibration Analysis
Order analysis, time-synchronous averaging, envelope spectra, modal analysis, rainflow counting