Time-Frequency and Time-Scale Methods
| Autor: | Jeffrey A. Hogan |
|---|---|
| EAN: | 9780817644314 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 21.12.2007 |
| Untertitel: | Adaptive Decompositions, Uncertainty Principles, and Sampling |
| Kategorie: | |
| Schlagworte: | Signal communication derivative differential equation image processing mathematical analysis operator theory quantum mechanics signal analysis uncertainty wavelets |
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Developed in this book are several deep connections between time-frequency (Fourier/Gabor) analysis and time-scale (wavelet) analysis, emphasizing the powerful adaptive methods that emerge when separate techniques from each area are properly assembled in a larger context. While researchers at the forefront of these areas are well aware of the benefits of such a unified approach, there remains a knowledge gap in the larger community of practitioners about the precise strengths and limitations of Fourier/Gabor analysis versus wavelets. This book fills that gap by presenting the interface of time-frequency and time-scale methods as a rich area of work. 'Foundations of Time-Frequency and Time-Scale Methods' will be suitable for applied mathematicians and engineers in signal/image processing and communication theory, as well as researchers and students in mathematical analysis, signal analysis, and mathematical physics.
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