A comparative study of adaptation algorithms for nonlinear system identification based on second order Volterra and bilinear polynomial filters

Measurement: Journal of the International Measurement Confederation

Volumn 44, Issue 10, 2011, Pages 1915-1923

  Suka Deba Singh, Th ^a   Chatterjee, Amitava ^a  

^a JADAVPUR UNIVERSITY   (India)

Author keywords

Bilinear polynomial filter; Mean square error; Nonlinear system identification; Recursive least squares (RLS); Volterra filter

Indexed keywords

ADAPTATION ALGORITHMS; COMPARATIVE ANALYSIS; COMPARATIVE STUDIES; FILTER MODEL; LEAST MEAN SQUARES; MEAN ABSOLUTE DEVIATIONS; MEASUREMENT NOISE; NON-LINEAR FILTERING TECHNIQUES; NONLINEAR FILTER; NONLINEAR VOLTERRA FILTER; OUTPUT SIGNAL; PERFORMANCE EVALUATION; POLYNOMIAL FILTERS; RANDOM INPUT; RECURSIVE LEAST SQUARES; SECOND ORDERS; SIMULATION STUDIES; VOLTERRA; VOLTERRA FILTER; VOLTERRA MODEL;

ADAPTIVE ALGORITHMS; COMPUTER SIMULATION; NONLINEAR FILTERING; NONLINEAR SYSTEMS; SIGNAL PROCESSING;

POLYNOMIALS;

EID: 80055003093     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2011.08.028     Document Type: Article

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