for Kindle Fire, Apple, Android, Nook, Kobo, PC, Mac, BlackBerry ...

New to eBooks.com?

Learn more

Multiscale Analysis of Complex Time Series

Integration of Chaos and Random Fractal Theory, and Beyond

Multiscale Analysis of Complex Time Series by Jianbo Gao
Add to cart
US$ 120.00
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:

  • DNA sequence analysis
  • EEG analysis
  • Heart rate variability analysis
  • Neural information processing
  • Network traffic modeling
  • Economic time series analysis
  • And more

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.

Wiley; December 2007
368 pages; ISBN 9780470191644
Read online, or download in secure PDF format
Title: Multiscale Analysis of Complex Time Series
Author: Jianbo Gao; Yinhe Cao; Wen-wen Tung; Jing Hu
 
Buy, download and read Multiscale Analysis of Complex Time Series (eBook) by Jianbo Gao; Yinhe Cao; Wen-wen Tung; Jing Hu today!