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A Mathematical Introduction to Wavelets (London Mathematical Society Student Texts)
 
 
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A Mathematical Introduction to Wavelets (London Mathematical Society Student Texts) [Hardcover]

P. Wojtaszczyk (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

February 13, 1997 0521570204 978-0521570206
This book presents a mathematical introduction to the theory of orthogonal wavelets and their uses in analyzing functions and function spaces, both in one and in several variables. Starting with a detailed and self-contained discussion of the general construction of one dimensional wavelets from multiresolution analysis, the book presents in detail the most important wavelets: spline wavelets, Meyer's wavelets and wavelets with compact support. It then moves to the corresponding multivariable theory and gives genuine multivariable examples. The author discusses wavelet decompositions in Lp spaces, Hardy spaces and Besov spaces and provides wavelet characterizations of those spaces. Also included are periodic wavelets or wavelets not associated with a multiresolution analysis. This will be an invaluable book for those wishing to learn about the mathematical foundations of wavelets.

Editorial Reviews

Review

"...the book does cover the basic material in a well-organized manner and with detailed explanations about the construction of wavelets. A nice feature of the book is that it has more than a hundred exercises of various levels of difficulty...This monograph is a suitable textbook for an introductory course in modern Fourier analysis and wavelet theory." Rodolfo Torres, Mathematical Reviews, 98j

Book Description

Starting with a detailed and selfcontained discussion of the general construction of one dimensional wavelets from multiresolution analysis, this book presents in detail the most important wavelets: spline wavelets, Meyer's wavelets and wavelets with compact support. It then moves to the corresponding multivariable theory and gives genuine multivariable examples. This will be an invaluable book for those wishing to learn about the mathematical foundations of wavelets.

Product Details

  • Hardcover: 276 pages
  • Publisher: Cambridge University Press (February 13, 1997)
  • Language: English
  • ISBN-10: 0521570204
  • ISBN-13: 978-0521570206
  • Product Dimensions: 9.1 x 6 x 1 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #8,002,813 in Books (See Top 100 in Books)

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19 of 19 people found the following review helpful:
5.0 out of 5 stars The mathematics of wavelets, April 10, 2000
By 
Mark A. Pinsky (Evanston, Illinois United States) - See all my reviews
The literature on wavelets has been growing at an increasing pace, as testified by 129 titles listed in Amazon.com, the great majority which were first published in the last five years. Many of these books are either (i)popular accounts for the general reader, (ii) user's guides for the practitioner or (iii) advanced mathematical treatises for experts. Thus we find very few textbooks where the serious student can obtain an honest introduction to the subject from a recognized authority. This is even more surprising, given that the origins of the subject can be traced back to the mathematics literature in the early part of the 20th century under the names of Alfred Haar, Phillip Franklin and Sir Edmund Whittaker---and later to further work by Alberto Calderon in the 1960's. With the flurry of activity in the 1980's in the French school, the subject came alive and is now a permanent part of the literature in mathematical analysis, growing by leaps and bounds.

The book of Wojtaszczyk is a welcome addition to the literature on wavelets. Without the benefit of glossy pictures or computer output, the author has been extremely successful in presenting a clear and correct approach to the subject for readers who have a minimal acquaintance with mathematical analysis at the level of integration theory and elementary Fourier analysis. Going beyond other introductory works, the book contains a systematic sets of exercises at the end of each chapter, as a sort of "reality check" for the student, to test his/her understanding of the theory.

The first four chapters of the book deal with wavelets in one dimensions, continued in chapter 9. Following the examples of the classical Haar system and the Stromberg spline wavelet, done in great detail, we are introduced to MRA systems as a systematic method for generating wavelet bases of the space of square-integrable functions on the line. An MRA (multi-reolution analysis) is defined by a "scaling function", which satisfies an orthonormality condition, a scaling condition and a smoothness condition in the Fourier domain. Any such function generates an MRA, which in turn generates a wavelet basis. In particular one can generate in this framework the smooth wavelets of Meyer by this method, followed by the compactly supported wavelets of Daubechies. Wavelet theory is first formulated for square integrable functions, but can be extended to other Banach spaces, where it often provides an "unconditional basis", which is not true of the classical Fourier series.

Chapters 5-8 deal with some of the multi-dimensional theory, where several wavelets are necesary to generate the MRA, suitably defined. Chapter 6 contains a self-contained treatment of some important topics in analysis: the Hardy-Littlewood maximal inequality, the Banach spaces H^1 and BMO, the John-Nirenberg inequalty. These are used to develop the property of unconditional basis for wavelets in the spaces L^p and H^1.

The author suceceds admirably in carrying out his stated goal beyond any reasonable expectation: in the preface we read "This is a purely mathematical book, although I constantly try to make the calculations as explicit as possible and I concentrate on theoretical questions that should have relevance in appplications, but regrettably discuss no real applications". With the flurry of literature on the uses of wavelets, these applications are best left to other works.

One can expect that this book will be in print for many years to come.

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Inside This Book (learn more)
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First Sentence:
The main point of this introductory chapter is to present two wavelets: the Haar wavelet and the Stromberg wavelet. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
wavelet set, supported scaling function, dilation matrix, multiresolution analyses, inultiresolution analysis, biorthogonal functionals, multiresolution analysis, unconditional basis, periodic wavelets, dyadic cubes, unconditional bases, dyadic dilations, unconditionally convergent series, spline systems, spline wavelets, associated wavelet, unconditional convergence, biorthogonal system, wavelet bases, wavelet expansions, supported wavelets, dyadic intervals, orthonormal system, scaling equation, weak type
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Proof Clearly, Proof Condition, Proof First, Proof From Corollary
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