Design of two-dimensional recursive filters by using neural networks.
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.
Mladenov
V M
VM
Mixed-Signal Microelectronics Group, Department of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands. v.mladenov@tue.nl
Mastorakis
N E
NE