Frequency transform
This is a list of linear transformations of functions related to the Fourier transform. Such transformations map a function to a set of coefficients of basis functions, where the basis functions are sinusoidal and are therefore strongly localized in the frequency spectrum. (These transforms are generally designed to be invertible.) In the case of the Fourier transform, each basis function corresponds to a single frequency component.
Applied to functions of continuous arguments, Fourier-related transforms include:
For usage on computers, discrete arguments (e.g. functions of a series of discrete samples) are more appropriate, and are handled by the transforms (analogous to the continuous cases above):
The usage of all of these transforms is greatly facilitated by the existence of fast algorithms based on the fast Fourier transform (FFT). The Nyquist-Shannon sampling theorem is critical for understanding the output of such discrete transforms.
See also related information in:
Referenced By
Laplace-Stieltjes transform
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