Overview
- Affordable, softcover reprint of a classic textbook?
- Provides a bridge between theory and practice of wavelet-based signal processing
- Theoretically rigorous while maintaining contact with interesting applications
Part of the book series: Modern Birkhäuser Classics (MBC)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (8 chapters)
Keywords
About this book
The text is written in a clear, accessible style avoiding unnecessary abstractions and details. From a computational perspective, wavelet signal processing algorithms are presented and applied to signal compression, noise suppression, and signal identification. Numerical illustrations of these computational techniques are further provided with interactive software (MATLAB code) that is available on the World Wide Web.
Topics and Features
- Continuous wavelet and Gabor transforms
- Frame-based theory of discretization and reconstruction of analog signals is developed
- New and efficient "overcomplete" wavelet transform is introduced and applied
- Numerical illustrations with an object-oriented computational perspective using the Wavelet Signal Processing Workstation (MATLAB code) available
This book is an excellent resource for information and computational tools needed to use wavelets in many types of signal processing problems. Graduates, professionals, and practitioners in engineering, computer science, geophysics, and applied mathematics will benefit from using the book and software tools. The present, softcover reprint is designed to make this classic textbook available to a wider audience.
A self-contained text that is theoretically rigorous while maintaining contact with interesting applications. A particularly noteworthy topic…is a class of ‘overcomplete wavelets’. These functions are not orthonormal and they lead to many useful results.
—Journal of Mathematical Psychology
Authors and Affiliations
Bibliographic Information
Book Title: Computational Signal Processing with Wavelets
Authors: Anthony Teolis
Series Title: Modern Birkhäuser Classics
DOI: https://doi.org/10.1007/978-3-319-65747-9
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-65746-2Published: 11 October 2017
eBook ISBN: 978-3-319-65747-9Published: 02 October 2017
Series ISSN: 2197-1803
Series E-ISSN: 2197-1811
Edition Number: 1
Number of Pages: XXVI, 324
Topics: Numerical Analysis, Fourier Analysis, Computational Science and Engineering