Design of two-dimensional recursive filters by using neural networks
Valeri Mladenov, Nikolaos E. Mastorakis · IEEE Transactions on Neural Networks · 2001
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.