Title :
Practical convergence properties of adaptive LMS algorithm
Author_Institution :
Dept. of Electron., Zhengzhou Univ., Henan, China
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
Keywords :
convergence of numerical methods; signal processing; statistical analysis; adaptive LMS algorithm; adaptive cancellers; convergence; least-mean-square weights; Adaptive systems; Assembly systems; Convergence; Least squares approximation; Low pass filters; Noise cancellation; Performance loss; Random processes; Signal processing; Steady-state;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28206
