DocumentCode :
3071625
Title :
On the probability density functions of the weight for the complex scalar LMS adaptive algorithm
Author :
Bershad, N.J. ; Lian Qu
Author_Institution :
University of California, Irvine, CA
Volume :
9
fYear :
1984
fDate :
30742
Firstpage :
110
Lastpage :
113
Abstract :
In this paper, a study is made of the joint probability density function of the single weight for the complex scalar LMS adaptive algorithm. Integral equations are derived for the probability density functions and characteristic functions of the real and imaginary parts of the weights. These integral equations are approximately solved for a sufficiently small adaptation parameter µ. It is shown that, for small µ and, in steady-state, the real and imaginary parts of the weights are statistically independent Gaussian random variables with mean equal to the Wiener weight.
Keywords :
Adaptive algorithm; Adaptive filters; Frequency domain analysis; Integral equations; Iterative algorithms; Least squares approximation; Probability density function; Statistical analysis; Testing; Transversal filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
Type :
conf
DOI :
10.1109/ICASSP.1984.1172436
Filename :
1172436
Link To Document :
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