Fast Fourier Transforms

Front Cover
Lulu.com, Nov 30, 2012 - Technology & Engineering - 256 pages
This book uses an index map, a polynomial decomposition, an operator factorization, and a conversion to a filter to develop a very general and efficient description of fast algorithms to calculate the discrete Fourier transform (DFT). The work of Winograd is outlined, chapters by Selesnick, Pueschel, and Johnson are included, and computer programs are provided.
 

Contents

Fast Fourier Transforms
2
This selection and arrangement of content as a collection is copyrighted by C Sidney Burrus It is
3
Fast Fourier Transforms
5
Multidimensional Index Mapping
7
Polynomial Description of Signals
21
The DFT as Convolution or Filtering
27
Factoring the Signal Processing Operators
39
Winograds Short DFT Algorithms
43
Algorithms for Data with Restrictions
137
Convolution Algorithms
139
Fast Fourier Transforms
153
Fast Fourier Transforms
157
FFT Flowgraphs
159
Operation Counts for General Length FFT
165
FFT Computer Programs
167
Programs for Short FFTs
207

An Algebraic View
65
The CooleyTukey Fast Fourier Transform Algorithm
79
The Prime Factor and Winograd Fourier Transform Algo rithms
97
Implementing FFTs in Practice
109
Bibliography
210
Index
242
November 18 2012
244

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