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.
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