Title :
Variable step-size LMS algorithm: new developments and experiments
Author :
Farhang-Boroujeny, B.
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
fDate :
30 May-2 Jun 1994
Abstract :
The variable step size least mean square (VSLMS) algorithm is explored further and adopted for tracking of time varying environments. Two implementations of the VSLMS algorithm are proposed. Our emphasis is on the implementations with different step sizes at various taps of the adaptive filter. For an application where the adaptive filter is used to track a time varying plant, it is shown that the step sizes of the VSLMS algorithm converge towards their optimum values. Simulation results that support the developed theories are also presented
Keywords :
Adaptive filters; Algorithm design and analysis; Convergence; Least squares approximation; Mean square error methods; Nonlinear filters; Statistics; Steady-state; Stochastic processes; Time varying systems;
Conference_Titel :
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
Conference_Location :
London
Print_ISBN :
0-7803-1915-X
DOI :
10.1109/ISCAS.1994.408955
