DocumentCode :
3074722
Title :
Accumulator quantization noise in the single-weight complex LMS adaptive algorithm
Author :
Sherwood, D.T. ; Bershad, N.J.
Author_Institution :
University of California at Irvine, Irvine, CA
Volume :
9
fYear :
1984
fDate :
30742
Firstpage :
579
Lastpage :
582
Abstract :
Quantization noise effects in a digital implementation of the complex scalar LMS adaptive algorithm are analyzed by modelling the accumulator input quantizer as a memoryless nonlinearity. The probability density function of the quantizer input, conditioned on the weight, is derived. The density is applied to finding the first and second conditional moments at the quantizer output. These are used to derive difference equations that approximate the dynamical behavior of the first and second weight moments. These difference equations, when solved numerically, compare favorably with simulation results.
Keywords :
Adaptive algorithm; Additive noise; Algorithm design and analysis; Difference equations; Digital filters; Least squares approximation; Probability density function; Quantization; Stochastic processes; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
Type :
conf
DOI :
10.1109/ICASSP.1984.1172609
Filename :
1172609
Link To Document :
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