An LMS style variable tap-length algorithm for structure adaptation

IEEE Transactions on Signal Processing

Volumn 53, Issue 7, 2005, Pages 2400-2407

  Gong, Yu ^a   Cowan, Colin F N ^a  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

Author keywords

Adaptive filters; Filter length; Tap length variation

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; LEAST SQUARES APPROXIMATIONS; MATRIX ALGEBRA; RANDOM PROCESSES;

ADAPTIVE FILTERS; FILTER LENGTH; TAP-LENGTH ALGORITHM; TAP-LENGTH VARIATION;

ADAPTIVE FILTERING;

EID: 23844522252     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2005.849170     Document Type: Article

References (14)

1. Z. Pritzker and A. Feuer, "Variable length stochastic gradient algorithm," IEEE Trans. Signal Process., vol. 39, no. 4, pp. 997-1001, Apr. 1991.
2. Y. K. Won, R. H. Park, J. H. Park, and B. U. Lee, "Variable LMS algorithm using the time constant concept," IEEE Trans. Consumer Electron., vol. 40, no. 3, pp. 655-661, Aug. 1994.
3. C. Rusu and C. F. N. Cowan, "Novel stochastic gradient adaptive algorithm with variable length," in Proc. Eur. Conf. Circuit Theory Design, Espoo, Finland, Aug. 2001.
4. Y. Gu, K. Tang, H. Cui, and W. Du, "Convergence analysis of a deficient-length LMS filter and optimal-length to model exponential decay impulse response," IEEE Signal Process. Lett., vol. 10, no. 1, pp. 4-7, Jan. 2003.
5. F. Riera-Palou, J. M. Noras, and D. G. M. Cruickshank, "Linear equalisers with dynamic and automatic length selection," Electron. Lett., vol. 37, no. 25, pp. 1553-1554, Dec. 2001.
6. Y. Gu, K. Tang, H. Cui, and W. Du, "LMS algorithm with gradient descent filter length," IEEE Signal Process. Lett., vol. 11, no. 3, pp. 305-307, Mar. 2004.
7. Y. Gong and C. F. N. Cowan, "A novel variable tap-length algorithm for linear adaptive fitlers," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., Montreal, QC, Canada, May 2004.
8. Y. Gong and C. F. N. Cowan, "Structure adaptation of linear MMSE adaptive filters," Proc. Inst. Elect. Eng. - Vision, Image, Signal Process., vol. 151, no. 4, pp. 271-277, Aug. 2004.
9. S. Haykin, Adaptive Filter Theory. Englewood Cliffs, NJ: Prentice-Hall, 1996.
10. J. Homer, I. Mareels, R. R. Bitmead, B. Wahlberg, and F. Gustafsson, "LMS estimation via structure detection," IEEE Trans. Signal Process., vol. 46, no. 10, pp. 2651-2663, Oct. 1998.
11. S. Ariyavisitakul and N. R. Sollenberger, "Tap-selectable decision-feedback equalization," IEEE Trans. Commun., vol. 45, no. 12, pp. 1497-1500, Dec. 1997.
12. B. Farhang-Boroujeny, Adaptive Filters: Theory and Application. New York: Wiley, 1998.
13. A. P. Liavas, P. A. Regalia, and J. P. Delmas, "Blind channel approximation: Effective channel order estimation," IEEE Trans. Signal Process., vol. 47, no. 12, pp. 3336-3344, Dec. 1999.
14. W. H. Gerstacker and D. P. Taylor, "Blind channel order estimation based on second-order statistics," IEEE Signal Process. Lett., vol. 10, no. 2, pp. 39-42, Feb. 2003.