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A. Asano, K. Itoh, and Y. Ichioka,
Convergence properties of recursive rank-order filter and neural network
Pattern Recognit. Lett., 11, 8, 557-560 (1990).

Abstract

It is demonstrated that all signals of arbitrary dimensions converges to the root signals by iterative operations of the recursive rank-order filter under certain conditions. We utilize the relation between rank-order filters and Hopfield's neural network model.

Keywords

Rank-order filter, Convergence property, Hopfield's neural network model

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