Title :
A short-term sequential regression algorithm
Author :
Ahmed, Nasir ; Hummels, Donald R. ; Uhl, Michael L. ; Soldan, David L.
Author_Institution :
Kansas State University, Manhattan, KS
fDate :
10/1/1979 12:00:00 AM
Abstract :
A short-term sequential regression (STSER) formulation is introduced to facilitate adaptive filtering in nonstationary environments. A corresponding STSER algorithm for finite impulse response (FIR) filters is derived. Experimental results involving an STSER predictor are presented. For the purpose of comparison, corresponding results using other available adaptive algorithms are also included.
Keywords :
Acoustic signal processing; Adaptive filters; Filtering algorithms; Finite impulse response filter; IIR filters; Information filtering; Least squares approximation; Signal processing algorithms; Speech processing; Wiener filter;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1979.1163273
