Title :
Improving the initial convergence of adaptive filters: variable-length LMS algorithms
Author :
Nascimento, Vítor H.
Author_Institution :
Electron. Syst. Eng. Dept., Sao Paulo Univ., Brazil
Abstract :
Despite its qualities of robustness, low cost, and good tracking performance, in many situations the LMS algorithm suffers from slow initial convergence. We propose a method to speed up this convergence rate by varying the length of the adaptive filter, taking advantage of the larger step-sizes allowed for short filters. The results presented here show that variable-length adaptive filters have the potential to achieve quite fast convergence rates, with a modest increase in the computational complexity.
Keywords :
adaptive filters; convergence of numerical methods; filtering theory; mean square error methods; tracking filters; adaptive filter convergence; computational complexity; least-mean square algorithm; variable-length LMS algorithms; Adaptive filters; Computational complexity; Computational efficiency; Convergence; Costs; Eigenvalues and eigenfunctions; Filtering algorithms; Least squares approximation; Robustness; Vectors;
Conference_Titel :
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN :
0-7803-7503-3
DOI :
10.1109/ICDSP.2002.1028179