Design of two-dimensional recursive filters by using neural networks

A new design method for two-dimensional (2-D) rec cursive digital filters i s investigated. The design of the 2-D filter is reduced to a constrained mi nimization 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 exa mple. Advantages of the proposed method over the existing ones are discusse d as well.