DocumentCode :
2604402
Title :
Two-dimensional LMS adaptive linear phase filters
Author :
Pei, Soo-Chang ; Lin, Ching-Yung ; Tseng, Chien-Cheng
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear :
1993
fDate :
3-6 May 1993
Firstpage :
311
Abstract :
Two-dimensional least mean square (2D LMS) adaptive filters are used in image processing applications for reducing noise. A new two-dimensional LMS algorithm is proposed, in which an additional linear phase constraint is added to the constraints of the existing 2D LMS algorithms. Compared with the conventional algorithms, the results show that the proposed algorithm is much more efficient both in computation time and memory storage
Keywords :
adaptive filters; delay circuits; filtering theory; image processing; least mean squares methods; two-dimensional digital filters; 2D LMS algorithms; adaptive linear phase filters; image processing applications; least mean square; two-dimensional LMS algorithm; Adaptive algorithm; Adaptive filters; Digital filters; Filtering algorithms; Finite impulse response filter; Image processing; Least squares approximation; Noise reduction; Nonlinear filters; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
Type :
conf
DOI :
10.1109/ISCAS.1993.393720
Filename :
393720
Link To Document :
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