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.

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Yes, you can access Multiscale Analysis of Complex Time Series by Jianbo Gao, Yinhe Cao, Wen-wen Tung, Jing Hu in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Wiley-Interscience

Year

2007

ISBN

9780470191644

Edition

Topic

Mathematics

Subtopic

Probability & Statistics

Index

Mathematics

Multiscale Analysis of Complex Time Series