Title :
Nonlinear phenomena in adaptive LMS filter signals
Author :
Bourgeois, Brian ; Martinez, Andrew
Author_Institution :
Dept. of Electr. Eng., Tulane Univ., New Orleans, LA, USA
Abstract :
It is demonstrated that the adaptive LMS (least mean square) filter does not necessarily converge to the Wiener solution. Iteration analysis is introduced and applied to the LMS adaptive filter. A 1 tap filter is examined in detail, and the structure of the estimate and error signals is investigated for an N tap filter. Simulation results are provided which confirm the theoretical findings
Keywords :
adaptive filters; digital filters; iterative methods; least squares approximations; 1 tap filter; adaptive LMS filter signals; error signals; estimated signals; iteration analysis; least mean square; nonlinear phenomena; simulation results; Adaptive filters; Algorithm design and analysis; Analytical models; Collaboration; Equations; Frequency; Least squares approximation; Power harmonic filters; Signal analysis; Stochastic processes;
Conference_Titel :
Southeastcon '91., IEEE Proceedings of
Conference_Location :
Williamsburg, VA
Print_ISBN :
0-7803-0033-5
DOI :
10.1109/SECON.1991.147929
