Overview
- Wavelet analysis plays a serious role in applications ranging from communications to geophysics, and from simulations to image processing
- This book gives a clear introduction to the ideas and methods of wavelet analysis
- It makes concepts understandable by relating them to previously known methods in mathematics and engineering
- Shows how to apply wavelet analysis to digital signal processing
- Presents a wide variety of applications of wavelets to problems in data compression and telecommunications
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Table of contents (14 chapters)
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Front Matter
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The Scalable Structure of Information
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Front Matter
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Wavelet Approximation and Algorithms
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Front Matter
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Wavelet Applications
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Front Matter
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Back Matter
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Wavelet Analysis
Book Subtitle: The Scalable Structure of Information
Authors: Howard L. Resnikoff, Raymond O. Wells
DOI: https://doi.org/10.1007/978-1-4612-0593-7
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1998
Hardcover ISBN: 978-0-387-98383-7
Softcover ISBN: 978-1-4612-6830-7
eBook ISBN: 978-1-4612-0593-7
Edition Number: 1
Number of Pages: XVI, 435
Topics: Applications of Mathematics, Signal, Image and Speech Processing, Fourier Analysis, Numerical Analysis, Information and Communication, Circuits, Artificial Intelligence