Isbn: 9780471654704 - multiscale analysis of complex time series: integration of chaos and random fractal theory, and beyond (11 Ergebnisse)

hardcover. Zustand: Very Good.

Hardcover. Zustand: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Zustand: Very Good.

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New. pp. 368.

Zustand: New. 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 .

Hardcover. Zustand: Brand New. illustrated edition. 368 pages. 9.75x6.25x0.75 inches. In Stock.

Zustand: New. 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. Num Pages: 368 pages, Illustrations. BIC Classification: TJK; UYS. Category: (P) Professional & Vocational. Dimension: 161 x 241 x 23. Weight in Grams: 644. . 2007. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Buch. Zustand: Neu. 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.…