Wavelets

Theory and Applications

AvA. K. Louis,D. Maass

Inbunden, Engelska, 1997

Del 36 i serien Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts

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Beskrivning

With applications in pattern recognition, data compression and numerical analysis, the wavelet transform is a key area of modern mathematics that brings new approaches to the analysis and synthesis of signals. This book presents the central issues and emphasizes comparison, assessment and how to combine method and application. It reviews different approaches to guide researchers to appropriate classes of techniques.

Produktinformation

Utgivningsdatum:1997-08-28
Mått:160 x 236 x 25 mm
Vikt:652 g
Format:Inbunden
Språk:Engelska
Serie:Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts
Antal sidor:304
Förlag:John Wiley & Sons Inc
ISBN:9780471967927

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Mer om författaren

A. K. Louis and D. Maass are the authors of Wavelets: Theory and Applications, published by Wiley.

Innehållsförteckning

Preface ixNotation xiIntroduction xv1 The Continuous Wavelet Transform 11.1. Definition and Elementary Properties 11.2 Affine Operators 101.3 Filter Properties of the Wavelet Transform 121.4 Approximation Properties 221.5 Decay Behaviour 321.6 Group-Theoretical Foundations and Generalizations 361.7 Extension of the One-Dimensional Wavelet Transform to Sobolev Spaces 59Exercises 692 The Discrete Wavelet Transform 732.1 Wavelet Frames 732.2 Multiscale Analysis 972.3 Fast Wavelet Transform 1212.4 One-Dimensional Orthogonal Wavelets 1312.5 Two-Dimensional Orthogonal Wavelets 203Exercises 2263 Applications of the Wavelet Transform 2313.1 Wavelet Analysis of One-Dimensional Signals 2313.2 Quality Control of Texture 2353.3 Data Compression in Digital Image Processing 2393.4 Regularization of Inverse Problems 2513.5 Wavelet – Galerkin Methods for Two-Point boundary Value Problems 2593.6 Schwarz Iterations Based on Wavelet Decompositions 2783.7 An Outlook on Two-Dimensional Boundary Value Problems 300Exercises 306Appendix The Fourier Transform 309References 313Index 321