A Note on the Convergence Analysis of LMS Adaptive Filters with Gaussian Data

IEEE Transactions on Acoustics, Speech, and Signal Processing

Volumn 36, Issue 7, 1988, Pages 1087-1089

  Foley, J B ^a   Boland, F M ^a  

^a TRINITY COLLEGE DUBLIN   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL SYSTEMS, ADAPTIVE - MATHEMATICAL MODELS;

CONVERGENCE ANALYSIS; GAUSSIAN DATA; LMS ADAPTIVE FILTERS;

ELECTRIC FILTERS;

EID: 0024053177     PISSN: 00963518     EISSN: None     Source Type: Journal    
DOI: 10.1109/29.1632     Document Type: Article

References (6)

1. G. Ungerboeck. “Theory on the speed of convergence i n adaptive equalizers for digital communication.” IBM J. Res. Der.elop., vol. 16, pp. 546-555. NOV. 1972
2. J. E. Mazo, “On the independence theory of equalizer convergence,” Bell Syst. Tech. J., vol. 58, pp. 963–993, May-June 1979.
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. 722–735. June 1981.
4. A. Feuer and E. Weinstein, “Convergence analysis of LMS filters with uncorrelated Gaussian data,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-33, pp. 222–230, Feb. 1985.
5. F. R. Gantmacher, Applications of the Theory of Matrices. New York: Interscience, 1959; also published as The Theory of Matrices, Vol. 2. New York: Chelsea, 1964.
6. B. Widrow, J. M. McCool, M. C. Larimore, and C. R. Johnson, “Stationary and nonstationary learning characteristics of the LMS adaptive filter,” Proc. IEEE, vol. 64, pp. 1151–1162, Aug. 1976.