| |
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910145766603321 |
|
|
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) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
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 |
|
|
|
|
|
|
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. |
|
|
|
|
|
|
|
| |