Design of weighted order statistic filters using the perceptron algorithm

We observe that the design of optimal weighted order statistic (WOS) filters under the mean absolute error criterion can be thought of as a two-class linear classification problem. Based on this observation, the perceptron algorithm is applied to designing WOS filters. It is shown experimentally that the perceptron algorithm can find optimal or near-optimal WOS filters in practical situations.<
>