Transforms, Correlation, and Modeling
Signal Processing Toolbox™ provides functions that let you compute correlation, convolution, and transforms of signals. Use the fast Fourier transform to decompose your data into frequency components. Filter signals by convolving them with transfer functions. Use correlation to quantify signal similarities. Use the discrete cosine transform to compress data.
Fourier, chirp Z, DCT, Hilbert, cepstrum, Walsh-Hadamard
- Correlation and Convolution
Cross-correlation, autocorrelation, cross-covariance, autocovariance, linear and circular convolution
- Signal Modeling
Linear prediction, autoregressive (AR) models, Yule-Walker, Levinson-Durbin