A Wavelet Tour of Signal Processing ANNOTATION
Audience: Academics and researchers, research and development engineers in industry, and graduate-level students.
FROM THE PUBLISHER
This book is intended to serve as an invaluable reference for anyone concerned with the application of wavelets to signal processing. It has evolved from material used to teach "wavelet signal processing" courses in electrical engineering departments at Massachusetts Institute of Technology and Tel Aviv University, as well as applied mathematics departments at the Courant Institute of New York University and École Polytechnique in Paris.
NEW IN THE SECOND EDITION:
Optical flow calculation and video compression algorithms
Image models with bounded variation functions
Bayes and Minimax theories for signal estimation
200 pages rewritten and most illustrations redrawn
More problems and topics for a graduate course in wavelet signal processing, in engineering and applied mathematics
Provides a broad perspective on the principles and applications of transient signal processing with wavelets.
Emphasizes intuitive understanding, while providing the mathematical foundations and description of fast algorithms.
Numerous examples of real applications to noise removal, deconvolution, audio and image compression, singularity and edge detection, multifractal analysis, and time-varying frequency measurements.
Algorithms and numerical examples are implemented in Wavelab, which is a Matlab toolbox freely available over the Internet.
Content is accessible on several level of complexity, depending on the individual reader's needs.
SYNOPSIS
This book is intended to serve as reference for anyone concerned with the application of wavelets to signal processing. It has evolved from material used to teach "wavelet signal processing" courses in electrical engineering departments at Massachusetts Institute of Technology and Tel Aviv University, as well as applied mathematics departments at the Courant Institute of New York University and Ecole Polytechnique in Paris.
It provides a brood perspective on the principles and applications of transient signal processing with wavelets; emphasizes intuitive understanding, while providing the mathematical foundations and description of fast algorithms; content is accessible on several levels of complexity, depending on the individual reader's needs.From the Bookjacket
FROM THE CRITICS
Booknews
The new edition of this graduate level textbook and reference on the principles and application of wavelets to signal processing includes updated coverage of optical flow calculation and video compression algorithms, image models with bounded variation functions, and Bayes and Minimax theories for signal estimation, as well as extensive rewriting and new illustrations and problems. Algorithms and numerical examples are implemented in Wavelab, a Matlab toolbox available over the Internet. Intuitive understanding is emphasized while providing the mathematical foundations and descriptions of fast algorithms. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Home
