Statistical performance of the memoryless nonlinear gradient algorithm for the constrained adaptive IIR notch filter

IEEE Transactions on Circuits and Systems I: Regular Papers

Volumn 52, Issue 8, 2005, Pages 1691-1702

  Xiao, Yegui ^a   Ma, Liying ^b   Khorasani, K ^b   Ikuta, Akira ^a  

^a PREFECTURAL UNIVERSITY OF HIROSHIMA   (Japan)

^b Gina Cody School of Engineering and Computer Science   (Canada)

Author keywords

Adaptive notch filtering; Constrained IIR notch filter; Estimated bias; Mean square error; Memoryless nonlinear gradient algorithm; Steady state performance

Indexed keywords

ADAPTIVE ALGORITHMS; ADAPTIVE FILTERING; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; ERROR ANALYSIS; IIR FILTERS; NONLINEAR FILTERING; POLES AND ZEROS; STATISTICAL METHODS;

ADAPTIVE NOTCH FILTERING; CONSTRAINED NOTCH FILTER; MEAN-SQUARE ERROR; MEMORYLESS NONLINEAR GRADIENT ALGORITHM; STEADY-STATE PERFORMANCE;

NOTCH FILTERS;

EID: 26444519178     PISSN: 10577122     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSI.2005.851713     Document Type: Article

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