Applied neural networks for signal processing

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Last edited by MARC Bot
August 7, 2024 | History

Applied neural networks for signal processing

The book begins by covering the basic principles and models of neural networks in signal processing. The authors then discuss a number of powerful algorithms and architectures for a range of important problems and go on to describe practical implementation procedures. A key feature of the book is that many carefully designed examples are included to help guide the reader in the development of systems for new applications.

The book will be an invaluable reference for scientists and engineers working in communications, control, or any other field related to signal processing. It can also be used as a textbook for graduate courses in electrical engineering and computer science.

Publish Date
Language
English
Pages
367

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Previews available in: English

Edition Availability
Cover of: Applied neural networks for signal processing
Applied neural networks for signal processing
1997, Cambridge University Press
in English

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Book Details


Edition Notes

Includes bibliographical references and index.

Published in
Cambridge, U.K, New York, NY, USA

Classifications

Dewey Decimal Class
621.382/2/028563
Library of Congress
TK5102.9 .L85 1997, TK5102.9 .L85 1998

The Physical Object

Pagination
xi, 367 p. :
Number of pages
367

Edition Identifiers

Open Library
OL1002088M
ISBN 10
0521563917
LCCN
96041384
OCLC/WorldCat
41149707, 35285473
Goodreads
4073875

Work Identifiers

Work ID
OL3339832W

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August 7, 2024 Edited by MARC Bot import existing book
May 27, 2022 Edited by ImportBot import existing book
August 23, 2020 Edited by ImportBot import existing book
March 25, 2019 Edited by ImportBot import existing book
December 10, 2009 Created by WorkBot add works page