Modified gradient algorithm for total least square filtering

Neurocomputing

Volumn 70, Issue 1-3, 2006, Pages 568-576

  Kong, Xiangyu ^a   Han, Chongzhao ^a   Wei, Ruixuan ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

FIR filters; Linear system identification; Total least square method

Indexed keywords

ADAPTIVE FILTERING; ALGORITHMS; COMPUTER SIMULATION; FIR FILTERS; GRADIENT METHODS; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; LINEAR CONTROL SYSTEMS; NEURAL NETWORKS; SIGNAL TO NOISE RATIO;

ADAPTIVE FIR FILTERS; TOTAL LEAST SQUARE (TLS) METHOD;

PARAMETER ESTIMATION;

ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; CONTROLLED STUDY; FILTRATION; INTERMETHOD COMPARISON; LINEAR SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; REGRESSION ANALYSIS; SIGNAL NOISE RATIO; STOCHASTIC MODEL;

EID: 33750298597     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2005.10.005     Document Type: Article

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