The fast Fourier transform is an equation that relates the amplitude, or strength, of an electrical signal as a function of frequency, instead of as a function of time. The computation of the transform has been one of the seminal events in spurring...

A fast Fourier transform (FFT) is an efficient algorithm to compute the discrete Fourier transform (DFT) and its inverse. FFTs are of great importance to a wide variety of applications, from digital signal processing and solving partial differential...

It is important to understand the FFT analyzer and its methods to determine the right kind of product to use for spectrum analysis. Although a common source for FFT analysis is the dedicated FFT analyzer, often called the FFT spectrum analyzer or the dynamic...

A generic fast Fourier transform (FFT) written in the Ada language is easily customized for specific applications, because Ada's 'instantiation' of generic packages produces code with appropriate values for array limits and with properly sized arrays. Furthermore, the need to rewrite and recompile routines...