Title :
A short-term sequential regression algorithm
Author :
Ahmed, N. ; Hummels, D.R. ; Uhl, Michael ; Soldan, D.
Author_Institution :
Kansas State University, Manhattan, Kansas
Abstract :
In the paper, we introduce the notion of short-term adaptive filtering via a sequential regression (SER) formulation. A corresponding short-term SER algorithm for nonrecursive filters is derived. Experimental results involving a short-term SER predictor are presented. For purposes of comparison, corresponding results using Widrow´s least-mean-square (LMS), and the conventional SER algorithm are also included.
Keywords :
Adaptive filters; Cost function; Digital filters; Equations; History; Least squares approximation; Recursive estimation; Speech; Transfer functions; Wiener filter;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '78.
DOI :
10.1109/ICASSP.1978.1170382
