DocumentCode :
3783864
Title :
Efficient design of minmax ODIF robust stack filters
Author :
B. Dumitrescu;I. Tabus;S. Peltonen;J. Astola;E. Dougherty
Author_Institution :
Signal Process. Lab., Tampere Univ. of Technol., Finland
Volume :
1
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
44
Abstract :
The design of an optimal stack filter may be reduced to a linear programming problem, where the criterion is the mean absolute error between a clean signal and noisy version of it. We introduce robustness considerations in the optimization problem. Our approach is to minimize the maximum value of the output distributional influence function (ODIF) associated with the signal and the additive noise. This leads to a new linear programming problem, solved with interior-point methods. We also present a heuristic that allows a significant reduction of the problem size, without sacrificing the quality of the resulting filter.
Keywords :
"Minimax techniques","Filters","Signal processing","Signal design","Noise robustness","Vectors","Linear programming","Costs","Pollution measurement","Distribution functions"
Publisher :
ieee
Conference_Titel :
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Print_ISBN :
0-7803-6703-0
Type :
conf
DOI :
10.1109/ISSPA.2001.949771
Filename :
949771
Link To Document :
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