Design of two-dimensional recursive filters by using neural networks

نویسندگان

  • Valeri Mladenov
  • Nikos E. Mastorakis
چکیده

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.

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عنوان ژورنال:
  • IEEE transactions on neural networks

دوره 12 3  شماره 

صفحات  -

تاریخ انتشار 2001