Variable step-size NLMS and affine projection algorithms

This letter proposes two new variable step-size algorithms for normalized least mean square and affine projection. The proposed schemes lead to faster convergence rate and lower misadjustment error.

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Veröffentlicht in:	IEEE signal processing letters 2004-02, Vol.11 (2), p.132-135
Hauptverfasser:	Hyun-Chool Shin, Sayed, A.H., Woo-Jin Song
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive filters Adaptive systems Algorithms Autocorrelation Computer science education Convergence Educational programs Errors Gaussian noise Least mean squares Least mean squares algorithm Least squares approximation Mean square error methods Projection Projection algorithms Signal processing
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Beschreibung
Zusammenfassung:	This letter proposes two new variable step-size algorithms for normalized least mean square and affine projection. The proposed schemes lead to faster convergence rate and lower misadjustment error.
ISSN:	1070-9908 1558-2361
DOI:	10.1109/LSP.2003.821722