MatLab and Optimization - Transforms

Transforms

The Signal Processing toolbox provides tools
for computing the most widely used transforms.
These include discrete Fourier, discrete
cosine, Hilbert, and Goertzel.

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. The spectral analysis
methods include Welch, Burg, modified covariance,
Yule-Walker, the multitaper method,
and the MUSIC method.