Journal
IEEE TRANSACTIONS ON NEURAL NETWORKS
Volume 12, Issue 3, Pages 585-590Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/72.925560
Keywords
constrained optimization; neural networks; two-dimensional recursive filters
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A new design method for two-dimensional (2-D) rec cursive 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.
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