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

By Yinhe Cao, Wen-Wen Tung, Jianbo Gao

The only integrative approach to chaos and random fractaltheory

Chaos and random fractal theory are two of the most importanttheories developed for data analysis. Until now, there has been nosingle book that encompasses all of the basic concepts necessaryfor researchers to fully understand the ever-expanding literatureand apply novel methods to effectively solve their signalprocessing problems. Multiscale Analysis of Complex TimeSeries fills this pressing need by presenting chaos and randomfractal theory in a unified manner.

Adopting a data-driven approach, the book covers:

DNA sequence analysisEEG analysisHeart rate variability analysisNeural information processingNetwork traffic modelingEconomic time series analysisAnd more

Additionally, the book illustrates almost every conceptpresented through applications and a dedicated Web site isavailable with source codes written in various languages, includingJava, Fortran, C, and MATLAB, together with some simulated andexperimental data. The only modern treatment of signal processingwith chaos and random fractals unified, this is an essential bookfor researchers and graduate students in electrical engineering, computer science, bioengineering, and many other fields.

• Format: Hardcover
• Language: English
• ISBN: 0471654701
• ISBN13: 9780471654704
• Release Date: September 2007
• Publisher: Wiley-Interscience
• Length: 368 Pages
• Weight: 2.07 lbs.
• Dimensions: 0.9" x 6.5" x 9.3"