Authors:
- 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
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (14 chapters)
-
Front Matter
-
The Scalable Structure of Information
-
Front Matter
-
-
Wavelet Approximation and Algorithms
-
Front Matter
-
-
Wavelet Applications
-
Front Matter
-
-
Back Matter
About this book
Authors and Affiliations
-
Future WAVE Inc., Boston, USA
Howard L. Resnikoff
-
Department of Mathematics, Rice University, Houston, USA
Raymond O. Wells
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
-
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