Abstract
The main results are presented of an analysis of the convergence and the steady-state behavior of the DLMS (delayed least mean square) algorithm, with the aim of providing useful insight which may be helpful in the design of such filters. The problem is defined, and some basic definitions are presented. Conditions for convergence, convergence rate, and limits are discussed. Remarks are presented. The implications of the results for the design of DLMS adaptive filters are addressed.
Cite
CITATION STYLE
Haimi-Cohen, R., Herzberg, H., & Be’ery, Y. (1990). Delayed adaptive LMS filtering: Current results. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 3, pp. 1273–1276). Publ by IEEE. https://doi.org/10.1109/icassp.1990.115604
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