Title :
Quality of approximation in error transfer function analysis of the LMS adaptive filters
Author :
Han, Jun ; Zeidler, James R. ; Ku, Walter H.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, CA, USA
Abstract :
This paper defines how the quality of approximation used in the error transfer function analysis affects the accuracy of the resulting steady-state mean square error (MSE) of the least-mean-square (LMS) adaptive filters. It shows that the error transfer function approach is very accurate for extremely narrow bandwidth input signals, and it deteriorates as the bandwidth of the input signal increases.
Keywords :
adaptive filters; error analysis; least mean squares methods; transfer functions; LMS adaptive filter; approximation quality; error transfer function analysis; least mean square filter; steady-state mean square error; Adaptive filters; Computer errors; Difference equations; Error analysis; Least squares approximation; Narrowband; Steady-state; Stochastic processes; Transfer functions; Wiener filter;
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on
Print_ISBN :
0-7803-8104-1
DOI :
10.1109/ACSSC.2003.1291978
