Improving the tracking capability of adaptive filters via convex combination

IEEE Transactions on Signal Processing

Volumn 56, Issue 7 II, 2008, Pages 3137-3149

  Silva, Magno T M ^a   Nascimento, Vítor H ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Adaptive equalizers; Adaptive filters; Convex combination; Least mean square (LMS) methods; Recursive estimation; Tracking; Unsupervised learning

Indexed keywords

ADAPTIVE FILTERING; ADAPTIVE FILTERS; ALGORITHMS; BLIND EQUALIZATION; BOOLEAN FUNCTIONS; CURVE FITTING; ELECTRIC FILTERS; FILTRATION; GRADIENT METHODS; HEALTH; LEAST SQUARES APPROXIMATIONS; WAVE FILTERS;

CONSTANT MODULUS (CM); CONVEX COMBINATIONS; GRADIENT-BASED ALGORITHMS; LEAST SQUARES (LS) ALGORITHM; MEAN SQUARE ERROR (MSE); PARAMETER VARIATIONS; RANDOM WALK MODELING; SHALVI-WEINSTEIN ALGORITHM (SWA); TIME-VARIANT FILTERS; TRACKING CAPABILITY;

ADAPTIVE ALGORITHMS;

EID: 46749123908     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2008.919105     Document Type: Article

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