DocumentCode
3464397
Title
An improved Kronecker Ll filtering algorithm
Author
Liu, In ; Astola, Jaakko ; Neuvo, Yrjö
Author_Institution
Dept. of Electr. Eng., Tampere Univ. of Technol., Finland
fYear
1993
fDate
1-3 Aug. 1993
Firstpage
154
Lastpage
157
Abstract
An improved adaptive Kronecker Ll filtering algorithm for estimating the optimal Kronecker lL filters under the mean square error criterion is derived. Besides suppressing impulsive noise, the adaptive Kronecker Ll filters preserve signal details, such as edges, more effectively than the traditional ones. Simulation results on image processing are provided to demonstrate the performance of the Kronecker Ll filters.<>
Keywords
adaptive filters; filtering and prediction theory; picture processing; Kronecker Ll filtering algorithm; adaptive filters; image processing; impulsive noise suppression; mean square error criterion; Adaptive filters; Filtering; Image processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Engineering, 1991., IEEE International Conference on
Conference_Location
Dayton, OH, USA
Print_ISBN
0-7803-0173-0
Type
conf
DOI
10.1109/ICSYSE.1991.161101
Filename
161101
Link To Document