Title :
A novel adaptive step size control algorithm for adaptive filters
Author :
Koike, Shin´ichi
Author_Institution :
NEC Corp., Tokyo, Japan
Abstract :
A novel adaptive step size control algorithm is proposed, in which the step size is approximated to the theoretically optimum value via leaky accumulators, realizing quasi-optimal control. The algorithm is applicable to most of the known tap weight adaptation algorithms. Analysis yields a set of difference equations for theoretically calculating expected filter convergence, and derives residual mean squared error (MSE) after convergence in a formula explicitly solved. Experiments with some examples prove that the proposed algorithm is highly effective in improving the convergence rate. The theoretically calculated convergence is shown to be in good agreement with that obtained through simulations
Keywords :
adaptive control; adaptive filters; convergence of numerical methods; difference equations; filtering theory; mean square error methods; optimal control; MSE; adaptive filters; adaptive step size control algorithm; convergence; difference equations; leaky accumulators; quasi-optimal control; residual mean squared error; tap weight adaptation algorithms; Adaptive control; Adaptive filters; Convergence; Difference equations; Error correction; Finite impulse response filter; Least squares approximation; Programmable control; Size control; Stochastic processes;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.758281
