000 05455nam a2200985 i 4500
001 5237251
003 IEEE
005 20200421114111.0
006 m o d
007 cr |n|||||||||
008 151221s2005 njua ob 001 eng d
020 _a9780471722960
_qebook
020 _z0471274569
_qcloth
020 _z9780471274568
_qcloth
020 _z0471722960
_qelectronic
024 7 _a10.1002/0471722960
_2doi
035 _a(CaBNVSL)mat05237251
035 _a(IDAMS)0b000064810954d9
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQP33.6.M36
_bW475 2003eb
082 0 0 _a612/.01/5118
_221
100 1 _aWestwick, David T.,
_eauthor.
245 1 0 _aIdentification of nonlinear physiological systems /
_cDavid T. Westwick, Robert E. Kearney.
264 1 _a[Piscataway, New Jersey?] :
_bIEEE Press,
_cc2003.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[2005]
300 _a1 PDF (xii, 261 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aIEEE Press series on biomedical engineering ;
_v17
500 _a"IEEE Engineering in Medicine and Biology Society, Sponsor."
504 _aIncludes bibliographical references (p. 251-257) and index.
505 0 _aPreface. -- 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.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _aSignificant 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.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 12/21/2015.
650 0 _aPhysiology
_xMathematical models.
650 0 _aNonlinear systems.
653 _aSystems Engineering.
655 0 _aElectronic books.
695 _aAccuracy
695 _aBibliographies
695 _aBiological system modeling
695 _aBroadband communication
695 _aComputational modeling
695 _aConvolution
695 _aCorrelation
695 _aData models
695 _aDelay
695 _aEquations
695 _aHumans
695 _aIEEE Press
695 _aIndexes
695 _aJacobian matrices
695 _aKernel
695 _aLinear regression
695 _aLinear systems
695 _aMathematical model
695 _aMatrices
695 _aMatrix decomposition
695 _aNoise
695 _aNoise measurement
695 _aNonlinear systems
695 _aOptimization methods
695 _aParametric statistics
695 _aPolynomials
695 _aPredictive models
695 _aProbability density function
695 _aRandom variables
695 _aSections
695 _aSingular value decomposition
695 _aStochastic processes
695 _aTime domain analysis
695 _aVectors
700 1 _aKearney, Robert E.,
_d1947-
710 2 _aIEEE Engineering in Medicine and Biology Society.
710 2 _aJohn Wiley & Sons,
_epublisher.
710 2 _aIEEE Xplore (Online service),
_edistributor.
776 0 8 _iPrint version:
_z9780471274568
830 0 _aIEEE Press series on biomedical engineering ;
_v17
856 4 2 _3Abstract with links to resource
_uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5237251
942 _cEBK
999 _c59337
_d59337