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About this product
Product Identifiers
PublisherPearson Education
ISBN-100134896009
ISBN-139780134896007
eBay Product ID (ePID)966704
Product Key Features
Number of Pages288 Pages
LanguageEnglish
Publication NameIntroduction to Wavelets and Wavelet Transforms : a Primer
SubjectSignals & Signal Processing, Mathematical Analysis
Publication Year1997
TypeTextbook
AuthorRamesh A. Gopinath, C. Sidney Burrus, Haitao Guo
Subject AreaMathematics, Technology & Engineering
FormatTrade Paperback
Dimensions
Item Height0.8 in
Item Weight15.9 Oz
Item Length9 in
Item Width7 in
Additional Product Features
Intended AudienceCollege Audience
LCCN96-053263
Dewey Edition21
IllustratedYes
Dewey Decimal515/.2433
Table Of Content1. Introduction to Wavelets. 2. A Multiresolution Formulation of Wavelet Systems. 3. Filter Banks and the Discrete Wavelet Transform. 4. Bases, Orthogonal Bases, Biorthogonal Bases, Frames, Tight Frames, and Unconditional Bases. 5. The Scaling Function and Scaling Coefficients, Wavelet and Wavelet Coefficients. 6. Regularity, Moments, and Wavelet System Design. 7. Generalizations of the Basic Multiresolution Wavelet System. 8. Filter Banks and Transmultiplexers. 9. Calculation of the Discrete Wavelet Transform. 10. Wavelet-Based Signal Processing and Applications. 11. Summary Overview. 12. References. Bibliography. Appendix A. Derivations for Chapter 5 on Scaling Functions. Appendix B. Derivations for Section on Properties. Appendix C. Matlab Programs. Index.
SynopsisThis book is the only source available that presents a unified view of the theory and applications of discrete and continuous- time signals. This is the only book to present the mathematical point of view, as well as the discrete-time signal processing perspective. It brings together information previously available only in research papers, in engineering and applied mathematics. Appropriate for researchers and practitioners in signal processing and applied mathematics., Advanced undergraduate and beginning graduate students, faculty, researchers and practitioners in signal processing, telecommunications, and computer science, and applied mathematics. It assumes a background of Fourier series and transforms and of linear algebra and matrix methods. This primer presents a well balanced blend of the mathematical theory underlying wavelet techniques and a discussion that gives insight into why wavelets are successful in signal analysis, compression, dection, numerical analysis, and a wide variety of other theoretical and practical applications. It fills a gap in the existing wavelet literature with its unified view of expansions of signals into bases and frames, as well as the use of filter banks as descriptions and algorithms., This book is the only source available that presents a unified view of the theory and applications of discrete and continuous- time signals. KEY TOPICS: This is the only book to present the mathematical point of view, as well as the discrete-time signal processing perspective. It brings together information previously available only in research papers, in engineering and applied mathematics. MARKET: Appropriate for researchers and practitioners in signal processing and applied mathematics.