Identification of Hammerstein Models with Cubic Spline Nonlinearities

IEEE Transactions on Biomedical Engineering

Volumn 51, Issue 2, 2004, Pages 237-245

  Dempsey, Erika J ^a   Westwick, David T ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

Cubic splines; Mean square optimization; Non linear system identification; Separable least squares; Stretch reflex dynamics

Indexed keywords

ALGORITHMS; BIOLOGICAL ORGANS; COMPUTER SIMULATION; ELECTROMYOGRAPHY; LEAST SQUARES APPROXIMATIONS; NONLINEAR SYSTEMS; OPTIMIZATION; POLYNOMIALS;

BLOCK STRUCTURED MODELS; FINITE IMPULSE RESPONSE FILTER; HAMMERSTEIN CASCADES;

BIOMEDICAL ENGINEERING;

ALGORITHM; ARTICLE; CASE REPORT; ELECTROMYOGRAM; HUMAN; LINEAR SYSTEM; MODEL; MYOTATIC REFLEX; NOISE MEASUREMENT; NONLINEAR SYSTEM; REGRESSION ANALYSIS; SPINAL CORD INJURY;

ALGORITHMS; COMPUTER SIMULATION; ELECTROMYOGRAPHY; HUMANS; MODELS, BIOLOGICAL; NONLINEAR DYNAMICS; REFLEX, STRETCH; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SPINAL CORD INJURIES;

EID: 1642430572     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2003.820384     Document Type: Article

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