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Multiresolution Signal Decomposition, Second Edition: Transforms, Subbands, and Wavelets [Hardcover]

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

Price: $140.00 & this item ships for FREE with Super Saver Shipping. Details
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Book Description

October 27, 2000
The uniqueness of this book is that it covers such important aspects of modern signal processing as block transforms from subband filter banks and wavelet transforms from a common unifying standpoint, thus demonstrating the commonality among these decomposition techniques. In addition, it covers such "hot" areas as signal compression and coding, including particular decomposition techniques and tables listing coefficients of subband and wavelet filters and other important properties.
The field of this book (Electrical Engineering/Computer Science) is currently booming, which is, of course, evident from the sales of the previous edition. Since the first edition came out there has been much development, especially as far as the applications. Thus, the second edition addresses new developments in applications-related chapters, especially in chapter 4 "Filterbrook Families: Design and Performance," which is greatly expanded.
* 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


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 --This text refers to an out of print or unavailable edition of this title.

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






Product Details

  • Hardcover: 499 pages
  • Publisher: Academic Press; 2 edition (October 27, 2000)
  • Language: English
  • ISBN-10: 0120471418
  • ISBN-13: 978-0120471416
  • Product Dimensions: 9.3 x 7.4 x 1.1 inches
  • Shipping Weight: 2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #3,598,405 in Books (See Top 100 in Books)

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Average Customer Review
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6 of 6 people found the following review helpful:
5.0 out of 5 stars Most comprehensive book on multiresolution transforms, May 19, 2002
This review is from: Multiresolution Signal Decomposition, Second Edition: Transforms, Subbands, and Wavelets (Hardcover)
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 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
This review is from: Multiresolution Signal Decomposition, Second Edition: Transforms, Subbands, and Wavelets (Hardcover)
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)
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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