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David T. Westwick - Identification of Nonlinear Physiological Systems - 9780471274568 - V9780471274568
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Identification of Nonlinear Physiological Systems

€ 203.08
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Description for Identification of Nonlinear Physiological Systems Hardcover. This much-needed reference informs readers about an important area of bioengineering, covering linear system identification and nonlinear systems needed to describe physiological processes. * Significant advances have been made in the field since the previous classic texts were written. This text brings the available knowledge up to date. Series: IEEE Press Series on Biomedical Engineering. Num Pages: 280 pages, references, index. BIC Classification: PS; TJ. Category: (P) Professional & Vocational. Dimension: 265 x 187 x 22. Weight in Grams: 704.
Significant advances have been made in the field since the previous classic texts were written. This text brings the available knowledge up to date.
* Enables the reader to use a wide variety of nonlinear system identification techniques.
* Offers a thorough treatment of the underlying theory.
* Provides a MATLAB toolbox containing implementation of the latest identification methods together with an extensive set of problems using realistic data sets.

Product Details

Format
Hardback
Publication date
2003
Publisher
John Wiley and Sons Ltd United States
Number of pages
280
Condition
New
Series
IEEE Press Series on Biomedical Engineering
Number of Pages
280
Place of Publication
, United States
ISBN
9780471274568
SKU
V9780471274568
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About David T. Westwick
David T. Westwick is an assistant professor in the Department of Electrical and Computer Engineering at the University of Calgary. Robert E. Kearney is professor and Chair of the Department of Biomedical Engineering at McGill University. A recipient of the IEEE Millenium Medal, he is a Fellow of the IEEE and former President of the IEEE Engineering in Medicine ... Read more

Reviews for Identification of Nonlinear Physiological Systems
"Researchers will find this useful and rewarding." (Journal of Statistical Computation and Simulation, September 2005) "…a brief summary of the underlying mathematical theory and techniques used to identify, characterize, and elucidate linear and nonlinear physiological models." (Computing Reviews.com, April 29, 2004) "…a welcome reference for anyone involved in the study of nonlinear dynamic behavioral patterns of biomedical ... Read more

Goodreads reviews for Identification of Nonlinear Physiological Systems


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