Wavelets and signal processing an application-based introduction ; with 7 tables

Literaturverz. S. [147] - 148

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1. Verfasser: Stark, Hans-Georg (VerfasserIn)
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Sprache:eng
Veröffentlicht: Berlin, Heidelberg u.a. Springer 2005
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Zusammenfassung:Literaturverz. S. [147] - 148
The wavelets transform is a mathematical technique in the field of image compression and digital signal analysis. The author aims at providing the reader with a working understanding of wavelets. In numerous examples, he discusses the potentials and limits of the tool in industrial applications. The book is completed by the author`s own Matlab codes. It is very well suited for electrical engineering students and engineers in industry. TOC:1. Introduction: Signals and Signal Processing.- Local Analysis.- A Roadmap for the Book.-2. Continuous Analysis: The Short Time Fourier Transform STFT.- The Continuous Wavelet Transform CWT.- Case Studies.- Exercises.- 3. The Discrete Wavelet Transform: Introduction and Problem Setting.- Preparations.-Multiscale Analysis and Wavelet Orthonormal Systems.- Discrete Signals and Fast Algorithms.- Case Studies.- Exercises.- 4. More Applications: The Transform Compression Scheme.- Wavelet based Similarity Retrieval in Image Archives.- 5. Appendix: Fourier Transform and Uncertainty Relation.-  Descrete Fourier Transform DFT.-  Vector Spaces and Basis Systems.- Digital Filters. 6. Index of Notations and Symbols. 7. Bibliography
Beschreibung:X, 150 S.
Ill., graph. Darst.
24 cm
ISBN:3540234330
3-540-23433-0