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