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Fast Algorithms for Signal Processing

Fast Algorithms for Signal Processing

Fast Algorithms for Signal Processing Hardback - 2010

by Richard E. Blahut

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Hardcover. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; This self-contained guide, the only one of its kind, enables engineers to find the optimum fast algorithm for a specific application. Including all necessary background mathematics, it presents a broad range of computationally-efficient
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Details

  • Title Fast Algorithms for Signal Processing
  • Author Richard E. Blahut
  • Binding Hardback
  • Edition 1st
  • Condition New
  • Pages 466
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2010-06-24
  • Features Bibliography, Index, Table of Contents
  • Bookseller's Inventory # ria9780521190497_inp
  • ISBN 9780521190497 / 0521190495
  • Weight 2.35 lbs (1.07 kg)
  • Dimensions 9.7 x 7 x 1 in (24.64 x 17.78 x 2.54 cm)
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Technology & Industrial Arts
  • Library of Congress Catalogue Number 2010007111
  • Dewey Decimal Code 621.382
  • Quantity available 548

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Reader reviews for Fast Algorithms for Signal Processing

From the publisher

Efficient signal processing algorithms are important for embedded and power-limited applications since, by reducing the number of computations, power consumption can be reduced significantly. Similarly, efficient algorithms are also critical to very large scale applications such as video processing and four-dimensional medical imaging. This self-contained guide, the only one of its kind, enables engineers to find the optimum fast algorithm for a specific application. It presents a broad range of computationally-efficient algorithms, describes their structure and implementation, and compares their relative strengths for given problems. All the necessary background mathematics is included and theorems are rigorously proved, so all the information needed to learn and apply the techniques is provided in one convenient guide. With this practical reference, researchers and practitioners in electrical engineering, applied mathematics, and computer science can reduce power dissipation for low-end applications of signal processing, and extend the reach of high-end applications.
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