By Albert Boggess

ISBN-10: 0130228095

ISBN-13: 9780130228093

ISBN-10: 0470431172

ISBN-13: 9780470431177

ISBN-10: 1118211154

ISBN-13: 9781118211151

ISBN-10: 1118626265

ISBN-13: 9781118626269

A finished, self-contained therapy of Fourier research and wavelets—now in a brand new edition

Through expansive assurance and easy-to-follow factors, a primary path in Wavelets with Fourier research, moment version offers a self-contained mathematical therapy of Fourier research and wavelets, whereas uniquely proposing sign research functions and difficulties. crucial and basic principles are awarded on the way to make the ebook available to a large viewers, and, moreover, their purposes to sign processing are saved at an simple level.

The booklet starts off with an creation to vector areas, internal product areas, and different initial themes in research. next chapters feature:

The improvement of a Fourier sequence, Fourier rework, and discrete Fourier analysis

Improved sections dedicated to non-stop wavelets and two-dimensional wavelets

The research of Haar, Shannon, and linear spline wavelets

The common concept of multi-resolution analysis

Updated MATLAB code and improved purposes to sign processing

The development, smoothness, and computation of Daubechies' wavelets

Advanced issues comparable to wavelets in greater dimensions, decomposition and reconstruction, and wavelet transform

Applications to sign processing are supplied through the e-book, so much concerning the filtering and compression of signs from audio or video. a few of these functions are provided first within the context of Fourier research and are later explored within the chapters on wavelets. New workouts introduce extra purposes, and whole proofs accompany the dialogue of every awarded conception. large appendices define extra complicated proofs and partial recommendations to workouts in addition to up to date MATLAB exercises that complement the offered examples.

A First direction in Wavelets with Fourier research, moment version is a superb ebook for classes in arithmetic and engineering on the upper-undergraduate and graduate degrees. it's also a worthy source for mathematicians, sign processing engineers, and scientists who desire to find out about wavelet thought and Fourier research on an ordinary level.

Table of Contents

Preface and Overview.

0 internal Product Spaces.

0.1 Motivation.

0.2 Definition of internal Product.

0.3 The areas L2 and l2.

0.4 Schwarz and Triangle Inequalities.

0.5 Orthogonality.

0.6 Linear Operators and Their Adjoints.

0.7 Least Squares and Linear Predictive Coding.

Exercises.

1 Fourier Series.

1.1 Introduction.

1.2 Computation of Fourier Series.

1.3 Convergence Theorems for Fourier Series.

Exercises.

2 The Fourier Transform.

2.1 casual improvement of the Fourier Transform.

2.2 homes of the Fourier Transform.

2.3 Linear Filters.

2.4 The Sampling Theorem.

2.5 The Uncertainty Principle.

Exercises.

3 Discrete Fourier Analysis.

3.1 The Discrete Fourier Transform.

3.2 Discrete Signals.

3.3 Discrete signs & Matlab.

Exercises.

4 Haar Wavelet Analysis.

4.1 Why Wavelets?

4.2 Haar Wavelets.

4.3 Haar Decomposition and Reconstruction Algorithms.

4.4 Summary.

Exercises.

5 Multiresolution Analysis.

5.1 The Multiresolution Framework.

5.2 enforcing Decomposition and Reconstruction.

5.3 Fourier remodel Criteria.

Exercises.

6 The Daubechies Wavelets.

6.1 Daubechies’ Construction.

6.2 category, Moments, and Smoothness.

6.3 Computational Issues.

6.4 The Scaling functionality at Dyadic Points.

Exercises.

7 different Wavelet Topics.

7.1 Computational Complexity.

7.2 Wavelets in greater Dimensions.

7.3 touching on Decomposition and Reconstruction.

7.4 Wavelet Transform.

Appendix A: Technical Matters.

Appendix B: suggestions to chose Exercises.

Appendix C: MATLAB® Routines.

Bibliography.

Index.

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**Extra info for A First Course in Wavelets with Fourier Analysis**

**Sample text**

TC x sin(x) dx ( f, e2 ) = '\/Jr -TC = 2,/ir [integration by parts]. Therefore the projection of J(x) = x onto Vo is given by Jo = (f, e2 ) e2 = 2,/ir sinx = 2 sin(x). /ii x 1 and Consider the space which is spanned by

V belongs to V and let vo be its orthogonal projection onto V0. Let Vt =Suppose v - vo; then Proof. v = vo + (v - vo) = vo + Vt. 20, Vt is orthogonal to every vector in V0• Therefore, v 1 belongs Consider the plane Vo = {2x + 3z O}. 26 - y = 20 INNER PRODUCT SPACES forms an orthonormal basis. So given v (x, z) R3 , the vector vo ( v , et )et + (v , e2 )e2 ( x - � 2z ) ( 1 , _2) + ( 2x : - z ) (2, l, -l) is theTheorthogonal projection of v onto the plane Vo. vector (2, - 1 , 3) / ,Jl4 is a unit vector that is perpendicular to this e3 plane.

Of this lemma is outlined in exercise 25. f2 (x)holdcosfornx anyor finterval (x) sin nx,of theweform see that[-TCthe+ integration C, TC + c) . Proof. • Webuilding can alsoblocksconsider intervals ofandthesin(nTCx/a), form -a S xwhich S a,areof length 2a. The basic are cos(nTCx/a) 2a/which n-periodic. 2. argument can be used to transform the integral formu The following las for theF Fourier coefficdefined ients ononthetheinterval [-TC, TC]S xtoStheTC. interval [-a, a]. Suppose is a function interval -TC The substitution x = tn/a, dx = TCdt/a leads to the following change of variables formula: -TC1 f-rrrr F(x)dx = a1 f-aa F (TCt) a dt.

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