A Design Method for Weighted Order Statistic Filters Based on the Perceotron Algorithm

Perceptron 알고리즘을 이용한 가중 순서 통게 필터의 설계

In this paper, we observe that the design of optimal weighted order statistic(WOS) filters minimizing the mean absolute error criterion can be though of as a two-class linear classification problem. Based on this observation, the perceptron algorithm is applied to design WOS filters. It is shown, through experiments, that the perceptron algorithm can find optimal or near optimal WOS filters in practical situations.