DocumentCode :
2048113
Title :
Fast algorithms for 2-D least squares FIR filtering
Author :
Glentis, G.O. ; Kaloupstidis, N.
Author_Institution :
Dept. of Inf., Athens Univ., Greece
fYear :
1991
fDate :
14-17 Apr 1991
Firstpage :
3009
Abstract :
A general set up for the development of fast algorithms for batch and adaptive least squares (LS) 2-D finite impulse response (FIR) filtering is presented. The proposed algorithms accommodate filter mask with arbitrary boundaries shape, and utilize scalar operations, only
Keywords :
filtering and prediction theory; least squares approximations; two-dimensional digital filters; 2-D least squares FIR filtering; adaptive least squares; batch algorithms; boundaries shape; fast algorithms; filter mask; finite impulse response; scalar operations; Adaptive algorithm; Adaptive filters; Adaptive signal processing; Filtering algorithms; Finite impulse response filter; Informatics; Least squares methods; Multidimensional signal processing; Signal processing algorithms; Two dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
ISSN :
1520-6149
Print_ISBN :
0-7803-0003-3
Type :
conf
DOI :
10.1109/ICASSP.1991.151036
Filename :
151036
Link To Document :
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