Identification of nonlinear physiological systems
Author(s)
Bibliographic Information
Identification of nonlinear physiological systems
(IEEE Press series in biomedical engineering)
IEEE Press , Wiley-Interscience, c2003
Available at 3 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
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  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
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  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
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Note
"IEEE Engineering in Medicine and Biology Society, Sponsor."
Includes bibliographical references (p. 251-257) and index
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Description and Table of Contents
Description
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.
Table of Contents
Preface. 1. Introduction.
1.1 Signals.
1.2 Systems and Models.
1.3 System Modeling.
1.4 System Identification.
1.5 How Common are Nonlinear Systems?
2. Background.
2.1 Vectors and Matrices.
2.2 Gaussian Random Variables.
2.3 Correlation Functions.
2.4 Mean-Square Parameter Estimation.
2.5 Polynomials.
2.6 Notes and References.
2.7 Problems.
2.8 Computer Exercises.
3. Models of Linear Systems.
3.1 Linear Systems.
3.2 Nonparametric Models.
3.3 Parametric Models.
3.4 State-Space Models.
3.5 Notes and References.
3.6 Theoretical Problems.
3.7 Computer Exercises.
4. Models of Nonlinear Systems.
4.1 The Volterra Series.
4.2 The Wiener Series.
4.3 Simple Block Structures.
4.4 Parallel Cascades.
4.5 The Wiener-Bose Model.
4.6 Notes and References.
4.7 Theoretical Problems.
4.8 Computer Exercises.
5. Identification of Linear Systems.
5.1 Introduction.
5.2 Nonparametric Time-Domain Models.
5.3 Frequency Response Estimation.
5.4 Parametric Methods.
5.5 Notes and References.
5.6 Computer Exercises.
6. Correlation-Based Methods.
6.1 Methods for Functional Expansions.
6.2 Block Structured Models.
6.3 Problems.
6.4 Computer Exercises.
7. Explicit Least-Squares Methods.
7.1 Introduction.
7.2 The Orthogonal Algorithms.
7.3 Expansion Bases.
7.4 Principal Dynamic Modes.
7.5 Problems.
7.6 Computer Exercises.
8. Iterative Least-Squares Methods.
8.1 Optimization Methods.
8.2 Parallel Cascade Methods.
8.3 Application: Visual Processing in the Light Adapted Fly Retina.
8.4 Problems
8.5 Computer Exercises.
References.
Index.
IEEE Press Series in Biomedical Engineering.
by "Nielsen BookData"