Identification of nonlinear physiological systems
著者
書誌事項
Identification of nonlinear physiological systems
（IEEE Press series in biomedical engineering）
IEEE Press , Wiley-Interscience, c2003
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注記
"IEEE Engineering in Medicine and Biology Society, Sponsor."
Includes bibliographical references (p. 251-257) and index
HTTP:URL=http://www.loc.gov/catdir/bios/wiley044/2003043255.html Information=Contributor biographical information
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内容説明・目次
内容説明
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.
目次
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.
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