Title :
Improved stochastic gradient adaptive filter with gradient adaptive step size
Author_Institution :
Sch. of Comput. & Commun. Eng., Taegu Univ., Kyungpook, South Korea
fDate :
6/25/1998 12:00:00 AM
Abstract :
The performance of a stochastic gradient adaptive filter can be significantly improved by introducing a forgetting factor. The complexity of the original algorithm can also be reduced by using only the signs of error signals and input signals in the gradient adaptive step size computation
Keywords :
adaptive filters; filtering theory; signal processing; stochastic systems; error signals; filtering theory; forgetting factor; gradient adaptive step size; gradient adaptive step size computation; input signals; original algorithm; stochastic gradient adaptive filter;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19980922
