Multiplicative Complexity, Convolution, and the DFT

Language: English

Published by Springer, Springer, 2011

146128399X / 9781461283997

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Druck auf Anfrage Neuware - Printed after ordering - This book is intended to be a comprehensive reference to multiplicative com plexity theory as applied to digital signal processing computations. Although a few algorithms are included to illustrate the theory, I concentrated more on the develop ment of the theory itself. Howie Johnson's infectious enthusiasm for designing efficient DfT algorithms got me interested in this subject. I am grateful to Prof. Sid Burrus for encouraging and supporting me in this effort. I would also like to thank Henrik Sorensen and Doug Jones for many stimulating discussions. lowe a great debt to Shmuel Winograd, who, almost singlehandedly, provided most of the key theoretical results that led to this present work. His monograph, Arithmetic Complexity o/Computations, introduced me to the mechanism behind the proofs of theorems in multiplicative complexity. enabling me to return to his earlier papers and appreciate the elegance of his methods for deriving the theory. The second key work that influenced me was the paper by Louis Auslander and Winograd on multiplicative complexity of semilinear systems defined by polynomials. After reading this paper, it was clear to me that this theory could be applied to many impor tant computational problems. These influences can be easily discerned in the present work.

Seller Inventory # 9781461283997

Title
Multiplicative Complexity, Convolution, and the DFT
Author
Michael T. Heideman
Publisher
Springer, Springer
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
146128399X
ISBN 13
9781461283997
Item weight
265 grams
Dimensions
235x155x10 mm

AHA-BUCH GmbH

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