Applied Wavelet Analysis with S-PLUS by Andrew BruceApplied Wavelet Analysis with S-PLUS by Andrew Bruce

Applied Wavelet Analysis with S-PLUS

byAndrew Bruce, Hong-Ye Gao

Paperback | June 20, 1996

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Using a visual data analysis approach, wavelet concepts are explained in a way that is intuitive and easy to understand. Furthermore, in addition to wavelets, a whole range of related signal processing techniques such as wavelet packets, local cosine analysis, and matching pursuits are covered, and applications of wavelet analysis are illustrated -including nonparametric function estimation, digital image compression, and time-frequency signal analysis. This book and software package is intended for a broad range of data analysts, scientists, and engineers. While most textbooks on the subject presuppose advanced training in mathematics, this book merely requires that readers be familiar with calculus and linear algebra at the undergraduate level.
Title:Applied Wavelet Analysis with S-PLUSFormat:PaperbackDimensions:338 pagesPublished:June 20, 1996Publisher:Springer-Verlag/Sci-Tech/Trade

The following ISBNs are associated with this title:

ISBN - 10:0387947140

ISBN - 13:9780387947143

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Table of Contents

1. Introduction; 2. Wavelet Analysis of 1-D Signals; 3. Wavelet Analysis of Images; 4. Exploratory Wavelet Analysis; 5. More on Wavelet Analysis; 6. Nonparametric Estimation with Wavelets; 7. Wavelet Packet Analysis; 8. Cosine Packet Analysis; 9. Wavelet Packet and Cosine Packet Analysis of Images; 10. Matching Pursuits and Molecules; 11. Variation on Wavelet Analysis; 12. Wavelet Algorithms and Filters; 13. Wavelet Packet and Cosine Packet Algorithms; 14. Boundary Conditions; A. Orthogonal Wavelet Functions; B. Biorthogonal Wavelet Functions; C. Wavelet Classes and Objects; D. S+ Wavelets Function List

From Our Editors

This book introduces applied wavelet analysis through the S-PLUS software system. Using a visual data analysis approach, wavelet concepts are explained in a way that is intuitive and easy to understand. Wavelets, as well as a whole range of related signal-processing techniques, such as wavelet packets, local cosine analysis, and matching pursuits are covered. Applications of wavelet analysis are illustrated, including nonparametric function estimation, digital image compressing, and time-frequency acoustic signal analysis.