Multiscale Analysis of Complex Time Series: Integration of Chaos and Random Fractal Theory, and Beyond
 |
|
Описание:
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. 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.Похожие книги
 | Physics unified Автор: Harold Aspden Год: 1980 |
 | Applying COM+ Автор: Gregory Brill Год: 1999 |
 | Strength and Stiffness of Engineering Systems (Mechanical Engineering Series) Автор: Frederick A. Leckie, Dominic J. Dal Bello Год: 2009 |
| Multiscale analysis of complex time series Автор: Jianbo Gao Год: 2007 |
| Quantum Optics Автор: Werner Vogel Год: 2006 |
| The Shortcut Guide to Improving Government Services Through Unified Communications Автор: Ken Camp Год: 2010 |