A Wavelet Tour of Signal Processing
This volume begins with a presentation of Fourier transform and then describes its failures for transient signal processing. It presents local time-frequency methods and the related mathematical tools. The book uses an intuitive approach to important mathematical results, and emphasizes practical applications rather than proofs. It describes numerical discreet algorithms as well as some applications to information processing, fractal analysis, noise removal, and compact signal coding. This work is intended for signal processing engineers who want to discover the potential applications of recent mathematical advances in time-frequency signal representations. Also of interest to researchers in applied mathematics, the book highlights the applications of these new techniques and also provides an overview of signal processing problems.
- Hardback | 704 pages
- 154.94 x 231.14 x 45.72mm | 975.22g
- 01 Mar 1998
- Elsevier Science Publishing Co Inc
- Academic Press Inc
- San Diego, United States
- b&w illustrations
Table of contents
Introduction to a transient world; Fourier kingdom; discrete revolution; time meets frequency; frames; wavelet zoom; wavelet bases; wavepacket and local cosine bases; an approximation tour; estimations are approximations; transform codes; mathematical complements; software toolboxes; glossary of symbols.