Analysis of the hierarchical LMS algorithm

IEEE Signal Processing Letters

Volumn 10, Issue 3, 2003, Pages 78-81

  Nascimento, Vítor H ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Adaptive filters; Estimation; Least mean square methods; Least square methods; Stochastic systems

Indexed keywords

ADAPTIVE FILTERING; ALGORITHMS; COMPUTER SIMULATION; ESTIMATION; LEAST SQUARES APPROXIMATIONS; STOCHASTIC CONTROL SYSTEMS;

MEAN SQUARE ERRORS (MSE);

HIERARCHICAL SYSTEMS;

EID: 0037340870     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2002.807863     Document Type: Article

References (7)

1. P. Diniz, Adaptive Filtering: Algorithms and Practical Implementation. Norwell, MA: Kluwer Academic, 1997.
2. S. Haykin, Adaptive Filter Theory, 3rd ed. Englewood Cliffs, NJ: Prentice-Hall, 1996.
3. R. Horn and C. Johnson, Matrix Analysis. Cambridge, MA: Cambridge Univ. Press, 1987.
4. T. Kailath, A. Sayed, and B. Hassibi, Linear Estimation. Englewood Cliffs, NJ: Prentice-Hall, 2000.
5. J. Mazo, "On the independence theory of equalizer convergence," Bell Syst. Tech. J., vol. 58, pp. 963-993, May-June 1979.
6. T.-K. Woo, "Fast hierarchical least mean square algorithm," IEEE Signal Processing Lett., vol. 8, pp. 289-291, Nov. 2001.
7. _, "HRLS: A more efficient RLS algorithm for adaptive FIR filtering," IEEE Commun. Lett., vol. 5, pp. 81-84, Mar. 2001.