On the Optimum Gain Parameter in Lms Adaptation

IEEE Transactions on Acoustics, Speech, and Signal Processing

Volumn 35, Issue 7, 1987, Pages 1065-1068

  Bershad, N J ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL TECHNIQUES - LEAST SQUARES APPROXIMATIONS;

LMS ADAPTIVE ESTIMATION; WHITE DATA COVARIANCE MATRIX; WIENER WEIGHTS;

SIGNAL FILTERING AND PREDICTION;

EID: 0023384881     PISSN: 00963518     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASSP.1987.1165232     Document Type: Note

References (7)

1. B. Widrow, “Adaptive filters,” in Aspects of Network and System Theory, R.E. Kalman and N. DeClaris, Eds. New York: Holt, Rinehart and Winston, 1970, pp. 563–587.
2. B. Widrow and S.D. Stearns, Adaptive Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1985, ch. 6.
3. L.L. Horowitz and K.D. Senne, “Performance advantage of complex LMS for controlling narrowband adaptive arrays,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-29, pp. 722–736, June 1981.
4. A. Feuer and E. Weinstein, “Convergence analysis of LMS filters with uncorrelated data,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-33, pp. 222–230, Feb. 1985.
5. W.A. Gardner, “Learning characteristics of stochastic-gradient-descent algorithms: A general study, analysis and critique,” Signal Processing, vol. 6, pp. 113–133, 1984.
6. B. Fisher and N.J. Bershad, “The complex LMS adaptive algorithmTransient weight mean and covariance with applications to the ALE,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-31, pp. 34–44, Feb. 1983.
7. K.D. Senne, “Adaptive linear discrete-time estimation,” Ph.D. dissertation, Stanford Univ., Stanford, CA, June 1968.