Title :
Design of two-dimensional recursive filters by using neural networks
Author :
Mladenov, Valeri M. ; Mastorakis, Nikos E.
Author_Institution :
Dept. of Electr. Eng., Eindhoven Univ. of Technol., Netherlands
fDate :
5/1/2001 12:00:00 AM
Abstract :
A new design method for two-dimensional (2-D) recursive digital filters is investigated. The design of the 2-D filter is reduced to a constrained minimization problem the solution of which is achieved by the convergence of an appropriate neural network. The method is tested on a numerical example and compared with previously published methods when applied to the same example. Advantages of the proposed method over the existing ones are discussed as well
Keywords :
convergence; minimisation; neural nets; recursive filters; two-dimensional digital filters; 2D recursive digital filters; constrained minimization problem; two-dimensional recursive digital filters; Artificial neural networks; Constraint optimization; Data processing; Design methodology; Design optimization; Digital filters; Neural networks; Programming profession; Stability; Two dimensional displays;
Journal_Title :
Neural Networks, IEEE Transactions on
