| Wavelet Transforms and Time-Frequency Signal Analysis 2001 Edition Contributor(s): Debnath, Lokenath (Author) |
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ISBN: 0817641041 ISBN-13: 9780817641047 Publisher: Birkhauser OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: February 2001 Annotation: This state-of-the-art presentation critically surveys wavelet analysis as a tool for fundamental computational harmonic analysis problems in applied mathematics and electrical engineering. A selected range of topics and applications are addressed, including waveform analysis and sample applications to signals, denoising, fast numeral operations, and fast PDE solvers. 50 illus. |
| Additional Information |
| BISAC Categories: - Mathematics | Mathematical Analysis - Mathematics | Applied - Technology & Engineering | Telecommunications |
| Dewey: 621.382 |
| LCCN: 000398-6 |
| Series: Applied and Numerical Harmonic Analysis |
| Physical Information: 1.07" H x 6.33" W x 9.52" (1.72 lbs) 425 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: The last fifteen years have produced major advances in the mathematical theory of wavelet transforms and their applications to science and engineering. In an effort to inform researchers in mathematics, physics, statistics, computer science, and engineering and to stimulate furtherresearch, an NSF-CBMS Research Conference on Wavelet Analysis was organized at the University of Central Florida in May 1998. Many distinguished mathematicians and scientists from allover the world participated in the conference and provided a digest of recent developments, open questions, and unsolved problems in this rapidly growing and important field. As a follow-up project, this monograph was developed from manuscripts sub- mitted by renowned mathematicians and scientists who have made important contributions to the subject of wavelets, wavelet transforms, and time-frequency signal analysis. This publication brings together current developments in the theory and applications of wavelet transforms and in the field of time-frequency signal analysis that are likely to determine fruitful directions for future advanced study and research. |