Derivation of a new normalized least mean squares algorithm with modified minimization criterion

Signal Processing

Volumn 89, Issue 4, 2009, Pages 692-695

  Cho, Hyeonwoo ^a   Lee, Chang Woo ^a   Kim, Sang Woo ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

Constrained minimization criterion; Misalignment; Normalized least mean squares algorithm; Reuse of coefficient vector

Indexed keywords

OPTIMIZATION;

CONSTRAINED MINIMIZATION CRITERION; EUCLIDEAN NORMS; MISALIGNMENT; NLMS ALGORITHMS; NORMALIZED LEAST MEAN SQUARES ALGORITHM; REUSE OF COEFFICIENT VECTOR;

VECTORS;

EID: 57749187093     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2008.10.026     Document Type: Article

References (6)

1. Sayed A.H. Fundamentals of Adaptive Filtering (2003), Wiley, New York
2. Lee C.W., Cho H., and Kim S.W. Comments on "Stereo echo cancellation algorithm using adaptive update on the basis of enhanced input-signal vector". Signal Processing 88 4 (2008) 1079-1081
3. Werner S., Diniz S., Kapoor S., and Huang Y.F. Set-membership affine projection algorithm. IEEE Signal Process. Lett. 5 5 (May 1998) 111-114
4. Horita E., Sumiya K., Urakami H., and Mitsuishi S. A leaky RLS algorithm: its optimality and implementation. IEEE Trans. Signal Process. 52 10 (October 2004) 2924-2936
5. Roy S., and Shynk J.J. Analysis of the momentum LMS algorithm. IEEE Trans. Signal Process. 38 12 (December 1990) 2088-2098
6. Haykin S. Adaptive Filter Theory. fourth ed. (2002), Prentice-Hall, Upper Saddle River, NJ