Design of two-dimensional recursive filters by using neural networks

V.M. Mladenov, N. Mastorakis

Research output: Contribution to journalArticleAcademicpeer-review

47 Citations (Scopus)
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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.
Original languageEnglish
Pages (from-to)585-590
Number of pages6
JournalIEEE Transactions on Neural Networks
Issue number3
Publication statusPublished - 2001

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