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A Primer on Wavelets and Their Scientific Applications, Second Edition (Studies in Advanced Mathematics)
 
 
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A Primer on Wavelets and Their Scientific Applications, Second Edition (Studies in Advanced Mathematics) [Paperback]

James S. Walker (Author)
4.1 out of 5 stars  See all reviews (11 customer reviews)

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Book Description

1584887451 978-1584887454 January 29, 2008 2
In the first edition of his seminal introduction to wavelets, James S. Walker informed us that the potential applications for wavelets were virtually unlimited. Since that time thousands of published papers have proven him true, while also necessitating the creation of a new edition of his bestselling primer. Updated and fully revised to include the latest developments, this second edition of A Primer on Wavelets and Their Scientific Applications guides readers through the main ideas of wavelet analysis in order to develop a thorough appreciation of wavelet applications.

Ingeniously relying on elementary algebra and just a smidgen of calculus, Professor Walker demonstrates how the underlying ideas behind wavelet analysis can be applied to solve significant problems in audio and image processing, as well in biology and medicine.

Nearly twice as long as the original, this new edition provides

·      104 worked examples and 222 exercises, constituting a veritable book of review material

·         Two sections on biorthogonal wavelets

·         A mini-course on image compression, including a tutorial on arithmetic compression

·         Extensive material on image denoising, featuring a rarely covered technique for removing isolated, randomly positioned clutter

·         Concise yet complete coverage of the fundamentals of time-frequency analysis, showcasing its application to audio denoising, and musical theory and synthesis

·         An introduction to the multiresolution principle, a new mathematical concept in musical theory

·         Expanded suggestions for research projects

·         An enhanced list of references

·         FAWAV: software designed by the author, which allows readers to duplicate described applications and experiment with other ideas.

To keep the book current, Professor Walker has created a supplementary website. This online repository includes ready-to-download software, and sound and image files, as well as access to many of the most important papers in the field.


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Product Details

  • Paperback: 320 pages
  • Publisher: Chapman and Hall/CRC; 2 edition (January 29, 2008)
  • Language: English
  • ISBN-10: 1584887451
  • ISBN-13: 978-1584887454
  • Product Dimensions: 9 x 5.9 x 0.7 inches
  • Shipping Weight: 1.1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.1 out of 5 stars  See all reviews (11 customer reviews)
  • Amazon Best Sellers Rank: #552,066 in Books (See Top 100 in Books)

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Customer Reviews

11 Reviews
5 star:
 (7)
4 star:
 (2)
3 star:    (0)
2 star:    (0)
1 star:
 (2)
 
 
 
 
 
Average Customer Review
4.1 out of 5 stars (11 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

33 of 34 people found the following review helpful:
5.0 out of 5 stars Wavelets in 20 simple pages, October 11, 2001
By 
Nihal Mehta (Plano, TX United States) - See all my reviews
(REAL NAME)   
This is simply the best book I have come across on introducing wavelets.

I am sure that within the first 20 pages, which are easy to understand and make for a very quick read, you will begin to see the beauty of this theory and will applaud the author's exposition.

While this book does not need much more than basic linear algebra, the author does not shy away from the mathematics where necessary - he simply motivates it by providing an intuitive understanding of the equations, so it's easy to follow.

In the very first chapter, he describes the wavelet method using examples that can be worked out by hand. (This is also mentioned in another review and contributed to me buying this book. I was doing research on another wavelet book on the site when I came across this book and it's reviews.) This helps to fix and brilliantly clarify the main ideas behind the theory. Armed with this knowledge, the reader can better appreciate the more sophisticated wavelet functions. But, the basics would be firmly planted by this book. This is rarely seen in other books dealing with this thoery.

This book is great for someone who wants to learn about this topic. It also is an excellent book for those who have an advanced graduate degree in applied mathematics since it demonstrates how to truly understand complex concepts.

The discussion is motivated with real world examples such as removing noise from signals, image enhancements, etc. These are useful examples that you can relate to. There is enough in this book and the downloadable software that you may want to undertake meaningful projects yourself. That is the confidence that you get from this book.

An outstanding quality is that the book is thin. This is a strong motivating factor since it immediately sends the message that "this method can't be that hard to grasp if the book is so short." And, this subliminal message keeps your spirits up as you read this masterpiece.

Wavelets is a mathematically intensive technique, and it seems that most authors want to show how "macho" they are by shrouding the basics under a heavy cloak of complex equations. But, true "machoism" is displayed by how deftly an author can bring a difficult topic to the lay person. James Walker does this remarkably well.

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27 of 27 people found the following review helpful:
5.0 out of 5 stars Excellent Introduction for us Beginners, September 2, 2001
By 
James B. Sisson (Idaho Falls, ID United States) - See all my reviews
Ch. 1: Haar Wavelets: The chapter lays out the basic concepts underpinning wavelet analysis using examples that require only hand calculations. Shows how a signal is broken down into is low frequency (i.e. trend) and the high frequency components (i.e. fluctuations). The concept of the transform inverse is presented and demonstrated through examples. The chapter goes on to introduce multiresolution analysis and requires some algebra but for my meager math background a piece of cake. Signal compression is discussed and emphasized. Removing noise from audio signals is examined. Chapter ends with a demonstration of why we need some wavelet beyond the Haar.
Ch. 2: Daubechies Wavelets: While there are numerous Daubechies wavelets Walker picks the simplest and develops important concepts. Some comfort with linear algebra and matrix notation makes this chapter easy to understand. The examples in the Haar chapter are carried forward to show how the Daubechies take care of discontinuities created by the Haar wavelet. Other Daubechies wavelts are then discussed and the Coiflets are introduced along with the need for these additional wavelets. More examples and the removal of pop noise and background static is examined. Image processing is introduced along with more examples. Great stuff even if I am not particularly interested in these topics. Chapter ends with notes and references where several URL's are presented on the various aspects of wavelets.
Ch. 3: Frequency analysis: Some familiarity with Fourier transforms will make the reader comfortable here but I do not think the familiarity essential to get the gist of where Walker is leading the reader. The idea of detecting a given sub image within a larger image is where we are lead. Chapter concludes on a roll your own wavelet section and again a notes and reference section.
Ch. 4: Beyond wavelets: Wavelet packet transforms are introduced and a few of their applications to signal compression presented. The concept of a continuous wavelet transform is brought in.
Appendix A. Software for wavelet analysis. Walker presents the URL for his software and data files.
For an introductory book I gave it the 5 stars. I really found it useful in getting me into the subject and a feeling for the level of effort I need to put forward to use wavelets for my application.
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11 of 12 people found the following review helpful:
5.0 out of 5 stars The ideas and the software., July 27, 2002
By 
This lovely little book helps the novice to get an idea of the math which underlies wavelets;-- and at the same time to learn how one readily gets hold of software that is convinient,-- that will make it easy for anyone to start playing around with it. The author also explains in plain English the wavelet aspects, and some of the mathematical constructs, behind audio denoising, signal compression, image recognition, speech recognition and more.
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Inside This Book (learn more)
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First Sentence:
A Haar wavelet is the simplest type of wavelet. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
thresholded transform, octagon image, significant transform values, second detail signal, trend subimages, scaling signals, wavelet transform compression, wavelet numbers, denoised signal, wavelet transform values, fingerprint compression, wavelet packet transform, horizontal fluctuation, packet transforms, scaling numbers, significance map, pop noise, averaged signal, contaminated signal, second fluctuation, hat wavelet, analyzing wavelet, abnormal heartbeat, wavelet analysis, low frequency values
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Edge Correlation Method, Small Fluctuations Feature, Parseval's Equality
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