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Practical convergence properties of adaptive LMS algorithm

Conference Paper


Abstract


  • A practical convergence law for least-mean-square weights is derived. In adaptive cancellers, a steady-state performance can be obtained such that when the signal and noise are statistically independent, the noise can be nulled without any loss of the signal. The signal cancellation phenomenon in adaptive cancellers can be explained easily by the derived convergence law.

Publication Date


  • 1988

Citation


  • Xi, J. T. (1988). Practical convergence properties of adaptive LMS algorithm. In Proceedings - International Conference on Pattern Recognition (pp. 200-202).

Scopus Eid


  • 2-s2.0-0024177572

Web Of Science Accession Number


Start Page


  • 200

End Page


  • 202

Abstract


  • A practical convergence law for least-mean-square weights is derived. In adaptive cancellers, a steady-state performance can be obtained such that when the signal and noise are statistically independent, the noise can be nulled without any loss of the signal. The signal cancellation phenomenon in adaptive cancellers can be explained easily by the derived convergence law.

Publication Date


  • 1988

Citation


  • Xi, J. T. (1988). Practical convergence properties of adaptive LMS algorithm. In Proceedings - International Conference on Pattern Recognition (pp. 200-202).

Scopus Eid


  • 2-s2.0-0024177572

Web Of Science Accession Number


Start Page


  • 200

End Page


  • 202