Multiscale Analysis of Complex Time Series
Language: English
Published by John Wiley & Sons Sep 2007, 2007
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 149.67
Quantity: 2 available
Add to basketItem description from seller
Neuware - The only integrative approach to chaos and random fractal theoryChaos 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 moreAdditionally, 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.…
Seller Inventory # 9780471654704
- Title
- Multiscale Analysis of Complex Time Series
- Author
- Jianbo Gao
- Publisher
- John Wiley & Sons Sep 2007
- Publication year
- 2007
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 0471654701
- ISBN 13
- 9780471654704
- Item weight
- 718 grams
- Dimensions
- 240x161x24 mm
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.
"Synopsis" may belong to another edition of this title.
About the Author
Jianbo Gao is an Assistant Professor of the Department of Electrical and Computer Engineering at the University of Florida.
Yinhe Cao is the CEO of BioSieve.
Wen-wen Tung is an Assistant Professor of the Department of Earth and Atmospheric Sciences at Purdue University, West Lafayette, Indiana.
Jing Hu is a Research Engineer of the Department of Electrical and Computer Engineering at the University of Florida.
"About the title" may belong to another edition of this title.
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