Title :
Design of weighted order statistic filters using linearly separable stack-like architecture
Author :
Savin, C.E. ; Ahmad, M.O. ; Swamy, M.N.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
Abstract :
This paper introduces a novel procedure for the design of weighted order statistic filters which are approximately optimal in the mean absolute error sense, for estimating a signal from a noise-corrupted observation of the same. In the proposed procedure, the design is carried out by using a new type of filter architecture designated as a linearly separable stack-like filter. An application for restoring images corrupted by impulsive noise is considered
Keywords :
adaptive filters; circuit optimisation; filtering theory; image restoration; adaptive algorithm; approximately optimal filters; filter design; image restoration; impulsive noise corruption; linearly separable stack-like architecture; mean absolute error; multilevel signal threshold decomposition; noise-corrupted observation; signal estimation; weighted order statistic filters; Adaptive filters; Binary sequences; Boolean functions; Cost function; Error analysis; Filters; Image restoration; Signal design; Signal restoration; Statistics; Sufficient conditions;
Conference_Titel :
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location :
Lafayette, LA
Print_ISBN :
0-7803-2428-5
DOI :
10.1109/MWSCAS.1994.518925
