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eBook Wavelets and Subband Coding (Prentice Hall Signal Processing Series) epub

by Martin Vetterli

eBook Wavelets and Subband Coding (Prentice Hall Signal Processing Series) epub
  • ISBN: 0130970808
  • Author: Martin Vetterli
  • Genre: Engineering
  • Subcategory: Engineering
  • Language: English
  • Publisher: Prentice Hall PTR (April 21, 1995)
  • Pages: 488 pages
  • ePUB size: 1864 kb
  • FB2 size 1985 kb
  • Formats azw rtf lrf docx


Wavelets and. Subband Coding. Martin Vetterli 4 Series Expansions Using Wavelets and Modulated Bases. The aim of the book is to present this unied view of wavelets and subband coding.

Wavelets and. E´cole Polytechnique F´ed´erale de Lausanne University of California, Berkeley. Carnegie Mellon University. Originally published in 1995 by Prentice Hall PTR, Englewood Clis, New Jersey. Reissued by the authors in 2007. 4 Series Expansions Using Wavelets and Modulated Bases. 209. Denition of the Problem . It will be done from a signal processing perspective, but with sucient background material such that people without signal processing knowledge will.

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

First published in 1995, Wavelets and Subband Coding offered a unified view of the exciting field of wavelets and their . The book developed the theory in both continuous and discrete time, and presented important applications.

The book developed the theory in both continuous and discrete time, and presented important applications. During the past decade, it filled a useful need in explaining a new view of signal processing based on flexible time-frequency analysis and its applications.

Jelena Kovacevic, Martin Vetterli. 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.

Wavelets and Subband Coding book.

Wavelets and Subband Coding. Martin Vetterli & Jelena Kovačević. The aim of the book is to present this unified view of wavelets and subband coding. Wavelets and Subband Coding. Martin Vetterli ´ Ecole Polytechnique F´ed´erale de Lausanne University of California, Berkeley. Jelena Kovaˇcevi´c Carnegie Mellon University. Originally published in 1995 by Prentice Hall PTR, Englewood Cliffs, New Jersey. Multiresolution Concept. Overview of the Book .

A central goal of signal processing is to describe real life signals, be it for computation, compression, or understanding. This book presents a unified view of wavelets and subband coding with a signal processing perspective

A central goal of signal processing is to describe real life signals, be it for computation, compression, or understanding. For electrical engineers and computer scientists. Download from free file storage.

Fourier and Wavelet Signal Processing. Two of the authors, Martin Vetterli and Jelena Kovaˇcevi´c, au-thored a graduate textbook, Wavelets and Subband Coding (originally with Prentice Hall in 1995), which they and others used to teach graduate courses at various US and European institutions. Read full description.

A central goal of signal processing is to describe real life 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. For electrical engineers and computer scientists.
Comments: (6)
Gindian
Graduate-level signal-processing math, but good explanations of image FFTs and MPEG video compression, etc.
Tantil
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.
Whilingudw
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!
Stick
The authors look hurried to catch the wave of wavelets and compiled hot topics of the publication date without almost any logical order. Lots of material taken from others' papers without generosity in the references. The book is missing to tell readers its purpose! Is it a mathematical treatment of wavelet transforms or an engineering book? I could not answer this question as a doctoral student. It's very much like a Ph.D. dissertation of the second author. Frankly, I was disappointed with the quality of the book from a known researcher like Prof. Vetterli.
Kezan
A very clear intruduction to wavelets
Mettiarrb
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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