Title :
Effect of colored noise on the performance of LMS adaptive equalizers and predictors
Author_Institution :
Dept. of Electr. Eng., Pennnsylvania State Univ., University Park, PA, USA
Abstract :
The effect of colored noise on the performance of the least-mean-square algorithm is investigated in two different applications: adaptive equalization and adaptive prediction. In both cases, the input signal usually consists of a signal component and a noise component that may be white or colored. In adaptive equalization, the desired signal is usually noise-free while in adaptive prediction the desired signal is a delayed version of the input signal. For both cases, expressions are obtained to show the effect of colored noise on the average weight coefficients, the minimum mean-square error, and the average steady state mean-square error. A comparison is made between the effect of colored noise on the performance of the algorithm and the effect of white noise
Keywords :
equalisers; filtering and prediction theory; least squares approximations; white noise; LMS adaptive equalizers; adaptive prediction; average weight coefficients; colored noise; input signal; least-mean-square algorithm; minimum mean-square error; noise component; signal component; steady state mean-square error; white noise; Adaptive equalizers; Adaptive filters; Colored noise; Delay; Eigenvalues and eigenfunctions; Least squares approximation; Noise cancellation; Steady-state; White noise; Working environment noise;
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
DOI :
10.1109/ISCAS.1992.230462
