1.

Record Nr.

UNINA9910830004803321

Autore

Westwick David T.

Titolo

Identification of nonlinear physiological systems / / David T. Westwick, Robert E. Kearney

Pubbl/distr/stampa

[Piscataway, New Jersey?] : , : IEEE Press, , c2003

[Piscataqay, New Jersey] : , : IEEE Xplore, , [2005]

ISBN

1-280-55705-2

9786610557059

0-471-72295-2

0-471-72296-0

Descrizione fisica

1 PDF (xii, 261 pages) : illustrations

Collana

IEEE Press series on biomedical engineering ; ; 17

Altri autori (Persone)

KearneyRobert E. <1947->

Disciplina

612/.01/5118

Soggetti

Physiology - Mathematical models

Nonlinear systems

Statistics as Topic

Nonlinear Dynamics

Computer Simulation

Models, Biological

Physiological Phenomena

Health Care Evaluation Mechanisms

Computing Methodologies

Models, Theoretical

Phenomena and Processes

Epidemiologic Methods

Mathematics

Investigative Techniques

Natural Science Disciplines

Public Health

Information Science

Quality of Health Care

Disciplines and Occupations

Analytical, Diagnostic and Therapeutic Techniques and Equipment

Health Care Quality, Access, and Evaluation

Environment and Public Health

Health Care

Physiology

Human Anatomy & Physiology

Health & Biological Sciences



Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"IEEE Engineering in Medicine and Biology Society, Sponsor."

Nota di bibliografia

Includes bibliographical references (p. 251-257) and index.

Nota di contenuto

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 Notesand 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.

Sommario/riassunto

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.