Signal Processing Toolbox 6.12

Spectral Analysis Tools

The Signal Processing Toolbox provides capabilities for frequency-domain analysis and spectral estimation, including tools for measuring power spectral density, mean-square spectrum, and average power. Several of these methods are based on a highly optimized fast Fourier transform. You can compute the discrete Fourier, discrete cosine, Hilbert, and other transforms useful in analysis, coding, and filtering. The spectral analysis methods include Welch's, Burg's, modified covariance, Yule-Walker, the multitaper method, and the MUSIC method.

A spectrogram of the input signal showing the signal's time-frequency distribution and power spectral density, created using the Signal Processing Toolbox spectrogram demo.