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Adapted Wavelet Analysis: From Theory to Software
 
 
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Adapted Wavelet Analysis: From Theory to Software [Hardcover]

Mladen Victor Wickerhauser (Author)
4.0 out of 5 stars  See all reviews (5 customer reviews)

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Book Description

1568810415 978-1568810416 April 17, 1996 First Edition
This detail-oriented text is intended for engineers and applied mathematicians who must write computer programs to perform wavelet and related analysis on real data. It contains an overview of mathematical prerequisites and proceeds to describe hands-on programming techniques to implement special programs for signal analysis and other applications. From the table of contents: - Mathematical Preliminaries - Programming Techniques - The Discrete Fourier Transform - Local Trigonometric Transforms - Quadrature Filters - The Discrete Wavelet Transform - Wavelet Packets - The Best Basis Algorithm - Multidimensional Library Trees - Time-Frequency Analysis - Some Applications - Solutions to Some of the Exercises - List of Symbols - Quadrature Filter Coefficients

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Product Details

  • Hardcover: 504 pages
  • Publisher: A K Peters/CRC Press; First Edition edition (April 17, 1996)
  • Language: English
  • ISBN-10: 1568810415
  • ISBN-13: 978-1568810416
  • Product Dimensions: 9.1 x 6 x 1.2 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Best Sellers Rank: #1,879,344 in Books (See Top 100 in Books)

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Customer Reviews

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9 of 9 people found the following review helpful:
4.0 out of 5 stars not the easiest one around but well describing algorithms, January 7, 1997
By A Customer
This review is from: Adapted Wavelet Analysis: From Theory to Software (Hardcover)
This book gave me a rather hard start with very dry and short theoretical introduction but the algorithmical/discrete part is well done and allows for implementation of most of the work where many details emerge ... I was missing solutions for the exercises though
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5 of 5 people found the following review helpful:
5.0 out of 5 stars Reference for implementation of transform algorithms, September 5, 2003
By 
Steve Uhlig (Berlin, Germany) - See all my reviews
(REAL NAME)   
This review is from: Adapted Wavelet Analysis: From Theory to Software (Hardcover)
This is the only book i know that is focused on implementation aspects of numerical transforms. It explains quite well the practical issues that are rarely touched in digital signal processing and wavelet textbooks. It spans fourier transforms, cosine, wavelets,... It is rather self-contained, if you have problems with maths you can skip chapter one, other chapters should be quite readable by every science grad student. Be aware that this is not a transform textbook, so you should first learn a few things about numerical transforms, wavelets and subband coding before getting into this one (go to Oppenheim and Schafer for DSP, Vetterli for subband coding). A good textbook for a course on numerical transforms implementation.
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5 of 5 people found the following review helpful:
5.0 out of 5 stars *Creating* wavelets!, October 4, 2002
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This review is from: Adapted Wavelet Analysis: From Theory to Software (Hardcover)
This is where to learn about wavelet packets, and what they can do.-- Where to learn the programming techniques that are especially adapted to wavelet algorithms, and which have proved their worth. The book actually tells you how to write a program;-- it motivates, and explains the elements step by step. It also gives the background, and offers a beautiful presentation of the essentials. It is selfcontained and a pleasure to read. It has the algorithmic approach to the discrete wavelet transform;--a topic that is hard to find elsewhere,-- at least in a systematic presentation.
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Inside This Book (learn more)
First Sentence:
The behavior of the algorithms discussed in this volume cannot be understood without some knowledge of the mathematical properties of the underlying functions. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
joint best basis, local cosine analysis, dark information cells, adjacent compatible intervals, disjoint dyadic cover, local periodization, array binary tree, smooth localized orthonormal bases, superpose amplitudes, information cost functional, local trigonometric transform, local cosine transform, wavelet packet coefficients, disjoint arrays, transform coding gain, unfolding operators, best basis analysis, wavelet packet analysis, wavelet packet bases, been preallocated, wavelet packet basis, scratch array, variance tree, wavelet packets, code permutation
Key Phrases - Capitalized Phrases (CAPs): (learn more)
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