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International Edition

Intl. Ed.

Digital Signal Processing: System Analysis And Design, 2nd ed.

Intl. Ed.

Digital Signal Processing: System Analysis And Design, 2nd ed. Softcover - 2010

by Paulo S. R. Diniz & Eduardo A. B. Da Silva & Sergio L. Netto

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Cambridge. Softcover. Brand New. “International Edition” - ISBN number and front cover may be different, but CONTENTS are same as the US edition. We ship fast via USPS/FedEx/DHL/Aramex Express Services. No shipping to PO BOX, APO, FPO addresses. Kindly provide day time phone number in order to ensure smooth delivery. Printed in black & white in English language. Territorial restrictions may be printed on the book. We may ship from Asian regions for inventory purpose. 100% Customer satisfaction guaranteed!" We use Fast Shipping via DHL/FEDEX/UPS
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Details

  • Title Digital Signal Processing: System Analysis And Design, 2nd ed.
  • Author Paulo S. R. Diniz & Eduardo A. B. Da Silva & Sergio L. Netto
  • Binding Paperback
  • Edition 2nd edition
  • Condition New
  • Pages 912
  • Volumes 1
  • Language ENG
  • Publisher Cambridge, India
  • Publication date 2010-09-02
  • Features Bibliography, Index, Table of Contents
  • Bookseller's Inventory # BWE-INT36309
  • ISBN 9780521887755 / 0521887755
  • Weight 3.85 lbs (1.75 kg)
  • Dimensions 10.1 x 7.3 x 2 in (25.65 x 18.54 x 5.08 cm)
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Technology & Industrial Arts
  • Library of Congress subjects Signal processing - Digital techniques
  • Library of Congress Catalogue Number 2010024387
  • Dewey Decimal Code 621.382
  • Quantity available 2

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Reader reviews for Digital Signal Processing: System Analysis And Design, 2nd ed.

From the publisher

This new, fully-revised edition covers all the major topics of digital signal processing (DSP) design and analysis in a single, all-inclusive volume, interweaving theory with real-world examples and design trade-offs. Building on the success of the original, this edition includes new material on random signal processing, a new chapter on spectral estimation, greatly expanded coverage of filter banks and wavelets, and new material on the solution of difference equations. Additional steps in mathematical derivations make them easier to follow, and an important new feature is the do-it-yourself section at the end of each chapter, where readers get hands-on experience of solving practical signal processing problems in a range of MATLAB experiments. With 120 worked examples, 20 case studies, and almost 400 homework exercises, the book is essential reading for anyone taking DSP courses. Its unique blend of theory and real-world practical examples also makes it an ideal reference for practitioners.
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