DocumentCode :
3623317
Title :
Solutions for optimal Boolean and stack filter design under a training framework
Author :
I. Tabus;D. Petrescu;M. Gabbouj
Author_Institution :
Autom. Control & Comput. Dept., Polytech. Univ., Bucharest, Romania
fYear :
1993
Firstpage :
1011
Abstract :
This paper introduces a training framework for the optimal nonlinear filter design problem. The problem to be solved within the present framework is the selection of the best filter under a data dependent criterion (rather than a model dependent criterion) in one class of nonlinear filters. A class of filters, namely Boolean filters is then considered, for which holds a decoupling property, allowing to transform the initial integer valued problem into the binary domain. The equivalence between the original criterion (in the integer signal domain) and a criterion expressed in the binary signal domain is shown then to hold. The procedures for obtaining the optimal solution for two classes of nonlinear filters, Boolean filters and stack filters, are derived under the new framework. Some numerical simulations are provided, in order to illustrate the effectiveness of the procedures in solving the noise rejection problem.
Keywords :
"Nonlinear filters","Numerical simulation"
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
ISSN :
1058-6393
Print_ISBN :
0-8186-4120-7
Type :
conf
DOI :
10.1109/ACSSC.1993.342417
Filename :
342417
Link To Document :
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