Inside the FFT Black Box: Serial and Parallel Fast Fourier Transform Algorithms / Edition 1

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Examples and diagrams explain algorithms completely, with consistent n otation. This approach connects the algorithms explicitly to the under lying mathematics. Reviews and explanations of FFT ideas taken from en gineering, mathematics, and computer science journals teach the comput ational techniques relevant to FFT. Two appendices familiarize readers with the design and analysis of computer algorithms, as well. This v olume employs a unified and systematic approach to FFT. It closes the gap between brief textbook introductions and intimidating treatments i n the FFT literature. Inside the FFT Black Box provides an up-to-date, self-contained guide for learning the FFT and the multitude of ideas and computing techniques it employs.

"...employs a unified & systematic approach, bringing the numerous & varied ideas together in a common notational framework while spanning the gap between textbook & literature."

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Editorial Reviews

A self-study guide or a supplementary text for graduate or advanced undergraduate courses in any of the many fields for which the Fast Fourier Transform has become one of the most important techniques in scientific and engineering computing. Chu (U. of Guelph, Canada) and George (U. of Waterloo, Canada) make the link between the transform and its underlying mathematics, primarily by translating the numerous and varied ideas and computing methods used by it into a common notational framework, a pseudo-code. That framework also facilitates developing the new parallel algorithms that they describe. For readers without it, two appendices provide the necessary background in designing and analyzing computer algorithms. Annotation c. Book News, Inc., Portland, OR (
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Product Details

  • ISBN-13: 9780849302701
  • Publisher: Taylor & Francis
  • Publication date: 11/11/1999
  • Series: Computational Mathematics Series
  • Edition number: 1
  • Pages: 336
  • Product dimensions: 7.00 (w) x 10.00 (h) x 0.81 (d)

Table of Contents

An Elementary Introduction to the Discrete Fourier Transform
Some Mathematical and Computational Preliminaries
The Divide-and-Conquer Paradigm and Two Basic FFT Algorithms
Deciphering the Scrambled Output from In-Place FFT Computation
Bit-Reversed Input to the Radix-2 DIF FFT
Performing Bit-Reversal by Repeated Permutation of Intermediate Results
An In-Place Radix-2 DIT FFT for Input in Natural Order
An In-Place Radix-2 DIT FFT for Input in Bit-Reversed Order
An Ordered Radix-2 DIT FFT
Ordering Algorithms and Computer Implementation of Radix-2 FFTs
The Radix-4 and the Class of Radix-2s FFTs
The Mixed-Radix and Split-Radix FFTs
FFTs for Arbitrary N
FFTs for Real Input
FFTs for Composite N
Selected FFT Applications
Parallelizing the FFTs: Preliminaries on Data Mapping
Computing and Communications on Distributed-Memory Multiprocessors
Parallel FFTs without Inter-Processor Permutations
Parallel FFTs with Inter-Processor Permutations
A Potpourri of Variations on Parallel FFTs
Further Improvement and a Generalization of Parallel FFTs
Parallelizing Two-Dimensional FFTs
Computing and Distributing Twiddle Factors in the Parallel FFTs
Fundamental Concepts of Efficient Scientific Computation
Solving Recurrence Equations by Substitution

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