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Wavelets and Subband Coding (Prentice Hall Signal Processing Series)

7 customer reviews
ISBN-13: 978-0130970800
ISBN-10: 0130970808
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Editorial Reviews

From the Publisher

A central goal of signal processing is to describe real-time signals, be it for computation, compression, or understanding. This book presents a unified view of wavelets and subband coding with a signal processing perspective. Covers the discrete-time case, or filter banks; development of wavelets; continuous wavelet and local Fourier transforms; efficient algorithms for filter banks and wavelet computations; and signal compression.

From the Inside Flap

Over the past few years, wavelets and their discrete-time cousins, filter banks, or, subband coding have been used in a variety of signal processing applications. From work in harmonic analysis and mathematical physics, and applications such as speech, image compression and computer vision, different disciplines have built up methods and tools now cast in the common framework of wavelets.

Offering a unified view of this exciting field, Wavelets and Subband Coding develops the theory in both continuous and discrete time, and presents important applications.

Chapter 1 gives an overview of the topics covered and introduces the concept of multiresolution that is central in both theory and applications.

Chapter 2 is a review of fundamentals that makes the book self-contained, and it includes discussions of vector spaces, Fourier theory, signal processing and time-frequency analysis.

Chapter 3 develops discrete-time linear expansions based on filter banks or subband coding. The two-channel case is studied in detail. The multichannel case as well as transmultiplexers are developed and design examples are given.

Chapter 4 develops wavelets, both with direct approaches and based on filter banks, and describes wavelet series and their computation, as well as the construction of modified local Fourier transforms.

Chapter 5 discusses continuous wavelet and local Fourier transforms that are used in signal analysis, as well as discretized versions leading to frames.

Chapter 6 addresses efficient algorithms for filter banks and wavelet computations.

Chapter 7 concludes coverage by describing signal compression where filter banks and wavelets play important roles, including speech, audio, image and video compression. Source coding using transforms, quantization, and entropy coding are studied in detail, and the usefulness of multiresolution coding in current applications is discussed.

In addition, each chapter includes numerous illustrative examples and several appendices cover additional material. The book includes about a hundred homework problems, and contains 130 illustrations and photographs.

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Product Details

  • Series: Prentice Hall Signal Processing Series
  • Hardcover: 488 pages
  • Publisher: Prentice Hall PTR (April 21, 1995)
  • Language: English
  • ISBN-10: 0130970808
  • ISBN-13: 978-0130970800
  • Product Dimensions: 6.9 x 1 x 9.2 inches
  • Shipping Weight: 1.8 pounds
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #2,051,625 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

8 of 8 people found the following review helpful By Palle E T Jorgensen VINE VOICE on February 12, 2003
Format: Hardcover
There are few books that sucessfully cover the interface of diverse fields, and yet this lovely book represents a subject that thrives on the interconnections. It is a great textbook, and it works well for selfstudy. The two subjects wavelets and subband filtering [from signal processing] are quite different, and have distinct and independent lives, they have different aims, and different histories. And yet, it is the happy marriage of the two that enriches the the union to an extraordinary degree. Multiresolutions are the bread and butter of wavelet algorithms, and they thrive on methods from signal processing, the quadrature-mirror filter construction, for example. One reason some books in the subject miss the target is that most authors know one of the subjects well, but not the others. Diverse subjects have quite different languages, and different terminology. The present authors are indeed on target, and they know it all. They come from engineering, but they know all the math;--the connections are made. And they strike a balance: Engineers can find what they want for the practical problems, and the mathematicians will not be disappointed. Programmers can pick up what is needed in their world. The book has been tested in courses, including mine. If you pick it for a course, the authors have material on their web pages that serves as a wonderful supplement. Lovely!
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10 of 11 people found the following review helpful By Julius Kusuma on July 6, 2000
Format: Hardcover
Martin Vetterli is the foremost researcher in the area of wavelets in signal processing, and one of the best presenters whom I've met. That may be sufficient to convince some people to buy this book, but may discourage others from buying this book.
One thing to keep in mind while reading this book is the following: The faithful shall be rewarded. If you're uninitiated, this book can be very intimidating, and Martin goes through the first parts (considered to be review) a little bit hurriedly, all the way through the end of Chapter 3.
But once you get into Chapter 4, you will be treated with an excellent coverage of why wavelets are so great, and the state-of-the-art of its research and application. This is where the two authors truly work their magic in their writing.
Even as you try to get past Chapter 3, there are many gems to be discovered, for example the proof of the ambiguity function in time-frequency analysis.
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By D. Lucani on February 23, 2006
Format: Hardcover
It is an excelent book for anyone interested in wavelets from a Discrete Time Signal Processing point of view.

It has a good introduction and review of basic topics, concepts and definitions necessary to grab the basis of DSP in the first chapters. Therefor, it provides a good framework to study wavelets without having studied DSP.

However, it is better if you have studied DSP prior to reading this book. You will enjoy it much more!
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By daniel on July 8, 2014
Format: Hardcover Verified Purchase
A very clear intruduction to wavelets
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