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Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets (Telecommunications) [Hardcover]

Paul R. Haddad (Author), Ali N. Akansu (Author)
4.3 out of 5 stars  See all reviews (3 customer reviews)


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Hardcover $140.00  
Hardcover, October 15, 1992 --  
There is a newer edition of this item:
Multiresolution Signal Decomposition, Second Edition: Transforms, Subbands, and Wavelets Multiresolution Signal Decomposition, Second Edition: Transforms, Subbands, and Wavelets 4.3 out of 5 stars (3)
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Book Description

October 15, 1992 Telecommunications
This book provides an in-depth, integrated, and up-to-date exposition of the topic of signal decomposition techniques. Application areas of these techniques include speech and image processing, machine vision, information engineering, High-Definition Television, and telecommunications. The book will serve as the major reference for those entering the field, instructors teaching some or all of the topics in an advanced graduate course and researchers needing to consult an authoritative source.

n The first book to give a unified and coherent exposition of multiresolutional signal decomposition techniques
n Classroom tested textbook clearly describes the commonalities among three key methods-transform coding, and wavelet transforms
n Gives comparative performance evaluations of many proposed techniques

Editorial Reviews

Review

"Several texts and monographs are available for the signal processing community that discuss important tools like (orthogonal) transforms for signal coding, subband decomposition of signals and the processing through filter banksand, more recently, wavelet transform techniques. A unified treatment of all those topics is the subject of this book. The general approach [in this book] is from a practical viewpoint. This can be illustrated by the following examples: The text is not theorem-proof structured, but builds up the theory by gradually generalizing the simpler cases; the different techniques are evaluated by objective criteria, especially compaction performance, not only theoretically, but also on standard test images; the book contains several tables of coefficients for some important filters. It stays on a theoretical level though in the sense that it gives the high level formulas, e.g. on quantization effects, but is not involved in bit manipulations or hardware implementation....The book may serve as a reference text for practitioners, but also as a didactical text for students."
--MATHEMATICAL REVIEWS

From the Back Cover

Multiresolution Signal Composition: Transforms, Subbands, and Wavelets, Second Edition is the first book to give a unified and coherent exposition of orthogonal signal decomposition techniques. Advances in the field of electrical engineering/computer science have occurred since the first edition was published in 1992. This second edition addresses new developments in applications-related chapters, especially in Chapter 4, "Filterbrook Families: Design and Performance," which is greatly expanded. Also included are the most recent applications of orthogonal transforms in digital communications and multimedia.

Multiresolution Signal Composition: Transforms, Subbands, and Wavelets, Second Edition is intended for graduate students and research and development practitioners engaged in signal processing applications in voice and image processing, multimedia, and telecommunications.

Key Features
· Unified and coherent treatment of orthogonal transforms, subbands, and wavelets
· Coverage of emerging applications of orthogonal transforms in digital communications and multimedia
· Duality between analysis and synthesis filter banks for spectral decomposition and synthesis and analysis transmultiplexer structures
· Time-frequency focus on orthogonal decomposition techniques with applications to FDMA, TDMA, and CDMA





--This text refers to an alternate Hardcover edition.

Product Details

  • Hardcover: 376 pages
  • Publisher: Academic Press; 1st edition (October 15, 1992)
  • Language: English
  • ISBN-10: 012047140X
  • ISBN-13: 978-0120471409
  • Product Dimensions: 9.6 x 8 x 0.9 inches
  • Shipping Weight: 2 pounds
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #4,425,428 in Books (See Top 100 in Books)

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Average Customer Review
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Most Helpful Customer Reviews

6 of 6 people found the following review helpful:
5.0 out of 5 stars Most comprehensive book on multiresolution transforms, May 19, 2002
It is the most comprehensive book on multiresolution transforms and state-of-the-art applications. It provides the theoretical depth without getting lost in the math. It leads the reader to the popular communications and multimedia applications of transforms like DCT, wavelets and filter banks. Akansu & Haddad need to be saluted for their clarity in a field where hype-let has been the fashion.

2nd Edition of the book is a "MUST" classic in multiresolution signals and transforms as a reference volume for researchers and engineering students.

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5 of 5 people found the following review helpful:
4.0 out of 5 stars Good core book for wavelets, July 11, 2000
This review is from: Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets (Telecommunications) (Hardcover)
This book does a good job at providing a unified framework both for wavelets and subband filtering and decomposition, and so I would give it 5 stars were not for it only covers biorthogonal filters in the last chapter, and at the very last moment. If you need to understand how wavelets are related to filtering, signal processing and signal compression, this is your book, but it's not specific to any of this fields, and is very 1D oriented, with 2D processing only mentioned.
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2 of 4 people found the following review helpful:
4.0 out of 5 stars pages 53-84 missing, January 15, 2006
In my book pages 53-84 are missing. They are occupied by pages 17-48. Nothing's been ripped out.
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Inside This Book (learn more)
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First Sentence:
In the first edition of this book, published in 1992, we stated our goals as threefold: (1) To present orthonormal signal decomposition techniques-transforms, sub-bands, and wavelets-from a unified framework and point of view. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
magnitude square function, block transform packets, signal source models, energy compaction performance, interscale coefficients, power complementary filters, subband tree structure, synthesis polyphase matrix, aliasing energy, coset vectors, paraunitary filter bank, interference excision, alias cancellation, binomial sequences, image coding applications, lapped orthogonal transform, polyphase decomposition, filter bank structure, subband filter bank, polyphase components, fixed transforms, polyphase matrices, dyadic tree, filter hank, subband signals
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Academic Press, Information Theory, Digital Filters, Supported Wavelets, Band Regular, New York, Optical Engineering, Subband Coding of Images, Time Shift, Yale Univ, Bell Labs, Bell Syst, Computer Science Press, Electronics Letters, Image Communication, Int'l Conf, Markov Model, Regular Tree Half Band Irre, Rice Univ, Technical Memo, Time Domain Aliasing Cancellation, Visual Comm
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