Signal Processing with Fractals: A Wavelet Based Approach
β Scribed by Gregory Wornell
- Publisher
- Prentice Hall
- Year
- 1995
- Tongue
- English
- Leaves
- 95
- Edition
- 1st
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This work provides a guide to wavelet-based signal processing with fractals. Coverage includes wavelet theory and transformations, statistically self-similar signals, deterministically self-similar signals, fractal modulation and linear self-similar systems.
π SIMILAR VOLUMES
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 a
<p><i><b>Provides easy learning and understanding of DWT from a signal processing point of view</b></i></p> <ul> <li>Presents DWT from a digital signal processing point of view, in contrast to the usual mathematical approach, making it highly accessible</li> <li>Offers a comprehensive coverage of re
<p><P>This unique resource examines the conceptual, computational, and practical aspects of applied signal processing using wavelets. With this book, readers will understand and be able to use the power and utility of new wavelet methods in science and engineering problems and analysis. </P><P>The t