The only integrative approach to chaos and random fractal theory Chaos and random fractal theory are two of the most important theories developed for data analysis. Until now, there has been no single book that encompasses all of the basic concepts necessary for researchers to fully understand the ever-expanding literature and apply novel methods to effectively solve their signal processing problems. Multiscale Analysis of Complex Time Series fills this pressing need by presenting chaos and random fractal theory in a unified manner. Adopting a data-driven approach, the book covers: <ul>
<li>DNA sequence analysis</li> <li>EEG analysis</li> <li>Heart rate variability analysis</li> <li>Neural information processing</li> <li>Network traffic modeling</li> <li>Economic time series analysis</li> <li>And more</li> </ul>
Additionally, the book illustrates almost every concept presented through applications and a dedicated Web site is available with source codes written in various languages, including Java, Fortran, C, and MATLAB, together with some simulated and experimental data. The only modern treatment of signal processing with chaos and random fractals unified, this is an essential book for researchers and graduate students in electrical engineering, computer science, bioengineering, and many other fields.

Multiscale Analysis of Complex Time Series: Integration of Chaos and Random Fractal Theory, and Beyond

Science & Math

Gao, Jianbo

Cao, Yinhe

Tung, Wen-Wen

Hu, Jing

Mathematics

Wiley-Interscience

Numerous voice, still image, audio, and video compression standards have been developed over the last 25 years, and significant advances in the state of the art have been achieved. However, in the more than 50 years since Shannon's seminal 1959 paper, no rate distortion bounds for voice and video have been forthcoming. This volume presents the first Rate Distortion Bounds for Voice and Video that actually lower bound the operational rate distortion performance of the best-performing voice and video codecs. Recently there has been much concern expressed about the gap between lossy compression theory and practice. Rate Distortion Bounds for Voice and Video specifies, for the first time, this gap for voice and video, and points the way forward to improving the performance of practical voice and video codecs. Recent results on obtaining rate distortion functions for both voice and video sources are presented, which overcome past limitations on source modeling by employing composite source models to achieve more accurate modeling of the different voice and video source modes. Rate Distortion Bounds for Voice and Video is essential reading for researchers in Information Theory and Signal Processing working on theoretical and practical aspects of data compression.

Rate Distortion Bounds for Voice and Video (Foundations and Trends(r) in Communications and Information)

Computers & Technology

Gibson, Jerry D.

Computer Science

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