A Primer on Wavelets and Their Scientific Applications
Will be published approx. on 17. July 2019
176 pages
E-Book
978-1-4200-5001-1 (ISBN)
Description
The rapid growth of wavelet applications-speech compression and analysis, image compression and enhancement, and removing noise from audio and images-has created an explosion of activity in creating a theory of wavelet analysis and applying it to a wide variety of scientific and engineering problems. It becomes important, then, that engineers and s
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Series
Language
English
Place of publication
Baton Rouge
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Illustrations
14 s/w Tabellen
14 tables and 100 equations
ISBN-13
978-1-4200-5001-1 (9781420050011)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
James S. Walker | Steven G. Krantz
A Primer on Wavelets and their Scientific Applications
Book
03/1999
1st Edition
Chapman & Hall/CRC
€30.94
Article exhausted; check for reprint
Person
Content
Haar Wavelets The Haar Transform Conservation and Compaction of Energy Removing Noise from Audio Signals Haar Wavelets Multiresolution Analysis Compression of Audio Signals Removing Noise from Audio Signals Notes and References Daubechies Wavelets The Daub4 Wavelets Conservation and Compaction of Energy Other Daubechies Wavelets Compression of Audio Signals Quantization, Entropy, and Compression Denoising Audio Signals Two-Dimensional Wavelet Transforms Compression of Images Fingerprint Compression Denoising Images Some Topics in Image Processing Notes and References Frequency Analysis Discrete Fourier Analysis Correlation and Feature Detection Object Detection in 2-D Images Creating Scaling Signals and Wavelets Notes and References Beyond Wavelets Wavelet Packet Transforms Applications of Wavelet Packet Transforms Continuous Wavelet Transforms Gabor Wavelets and Speech Analysis Notes and References Appendix: Software for Wavelet Analysis
