Book ChapterDOI
Discrete Fourier Analysis
Luis F. Chaparro,Aydin Akan +1 more
- pp 637-720
TLDR
Since periodic discrete-time signals have a periodic and discrete-frequency transform the Fourier series is a special case of the DFT, which in turn is implemented very efficiently by the Fast Fourier Transform (FFT) algorithm.Abstract:
If the Z-transform of a signal or the transfer function of a system is defined on the unit circle then the Discrete-Time Fourier Transform (DTFT) of the signal or the frequency response of the system are obtained. Two computational disadvantages of the DTFT, being a function of a continuously varying frequency and requiring integration for the inversion, are removed by sampling in frequency and resulting in the Discrete Fourier Transform (DFT). Since periodic discrete-time signals have a periodic and discrete-frequency transform the Fourier series is a special case of the DFT. Circular representation, circular shift and circular convolution characterize the DFT. Thus, periodic or aperiodic signals can be represented and processed by the DFT, which in turn is implemented very efficiently by the Fast Fourier Transform (FFT) algorithm. Basic theory and application of the FFT are introduced. Fourier representation and processing of two-dimensional signals and systems are similar to those in one dimension. The use of transforms for data compression is illustrated by the discrete cosine transform, which represents the signal efficiently using real-valued coefficients. MATLAB is used for computation of the transforms and processing of one- and two-dimensional signals.read more
References
More filters
Journal ArticleDOI
An algorithm for the machine calculation of complex Fourier series
J.W. Cooley,John W. Tukey +1 more
TL;DR: Good generalized these methods and gave elegant algorithms for which one class of applications is the calculation of Fourier series, applicable to certain problems in which one must multiply an N-vector by an N X N matrix which can be factored into m sparse matrices.
Journal ArticleDOI
Gauss and the history of the fast fourier transform
TL;DR: The algorithm developed by Cooley and Tukey clearly had its roots in, though perhaps not a direct influence from, the early twentieth century, and remains the most Widely used method of computing Fourier transforms.
Journal ArticleDOI
Some improvements in practical Fourier analysis and their application to x-ray scattering from liquids
G.C. Danielson,Cornelius Lanczos +1 more
Proceedings ArticleDOI
How the FFT gained acceptance
TL;DR: In this article, the history of the fast Fourier transform is narrated, beginning with the publication and subsequent development of the concept by R.L. Garwin in the 1960s and the activities of the IEEE ASSP digital signal processing committee in promoting the use of the technique are described.