Signal
Processing with Fractals: A Wavelet-Based Approach
G. W. Wornell
Prentice-Hall: Upper Saddle River, NJ, 1996
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 signal for a wide range of applications
are developed in detail, and novel applications in communications
are explored. Written by a signal processor for signal
processors, Signal Processing
with Fractals is a self-contained, well-illustrated
treatise, and includes a highly accessible concept-oriented
primer of the relevant wavelet theory.
Click below to download pdf files:
Book
Cover
Table
of Contents
Preface
Chapter
1 : Introduction and Overview
Chapter
2 : Wavelet Transformations
Chapter
3 : Statistically Self-Similar Signals
Chapter
4 : Detection and Estimation with Fractal Processes
Chapter
5 : Deterministically Self-Similar Signals
Chapter
6 : Fractal Modulation
Chapter
7 : Linear Self-Similar Systems
Appendices
References
Index
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