Design of weighted order statistic filters using the perceptronalgorithm

  • Authors:

  • Byeongjang Jeong;Yong Lee

  • Affiliations:

  • Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon;-

  • Venue:
  • IEEE Transactions on Signal Processing
  • Year:
  • 1994

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Abstract

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