Signal Processing with Fractals: A Wavelet-based Approach

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Prentice Hall PTR, 1996 - Technology & Engineering - 177 pages
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Fractal geometry and recent developments in wavelet theory are having an important impact on the field of signal processing. Efficient representations for fractal signals based on wavelets are opening up new applications for signal processing, and providing better solutions to problems in existing applications.
Signal Processing with Fractals provides a valuable introduction to this new and exciting area, and develops a powerful conceptual foundation for understanding the topic. Practical techniques for synthesizing, analyzing, and processing fractal signals for a wide range of applications are developed in detail, and novel applications in communications are explored.

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Contents

Preface
1
Wavelet Transformations
8
Statistically SelfSimilar Signals
30
Copyright

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About the author (1996)

Gregory W. Wornell is an Assistant Professor in the Department of Electrical Engineering and Computer Science at MIT.

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