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FFT - Fast Fourier Transform

By: Christine Martz

Meaning of FFT – “Fast Fourier Transform”, is a mathematical algorithm that is used to indicate any algorithm attempting to determine the power versus frequency graph for a signal.

This algorithm shows what high, medium, and low sounds, and what volume of each, are combined to make a complex sound like the human voice. This information is used in the feature analysis method of voice recognition.

FFT is also used for digital signal processing and to remove or enhance patterns of periodic "noise" in an image.

The Fourier transform is named after Jean Baptiste Joseph Fourier.

Other Related Definitions:

“…The Fourier transform has the unique capability of taking functions from the time domain to the frequency domain. A few hundred years ago French mathematician Jean Baptiste Joseph Fourier developed the calculus based transform to solve heat diffusion problems. A number of decades ago a method to quickly calculate discrete FFT's of the power was developed, and first implemented in Fortran.” [Magmai Kai Holmlor - Gamedev.net]

“…Fourier transforms are also used to solve partial differential equations. Accordingly, they are used in applications where partial differential equations arise, such as physics and financial engineering.” [Contingency Analysis]

“…FFTs were first discussed by Cooley and Tukey (1965), although Gauss had actually described the critical factorization step as early as 1805 (Bergland 1969, Strang 1993).” [Eric W. Weisstein - MathWorld]

Related Links:

Fast Fourier Transforms - Description of FFT.
The FFT - Making Technology Fly.

Technical Resources:

Discrete Fourier Transform
The Scientist and Engineer's Guide to Digital Signal Processing
General Purpose FFT (Fast Fourier/Cosine/Sine Transform) Package

Products and Solutions:

A C subroutine library for computing the discrete Fourier transform

Blogs, News, Feeds, Discussion Lists:

FFT Mailing List

Books About:

Fast Fourier Transform and Its Applications - by E. Brigham
The Fast Fourier Transform: An Introduction to Its Theory and Application - by E. Oran Brigham
Fast Fourier Transforms, Second Edition - by James S. Walker

See Also:

Other FFT Related Resources

 

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