Fuzzy lowpass filtering

  • Authors:

  • Yasar Becerikli;M. Mucteba Tutuncu;H. Engin Demiray

  • Affiliations:

  • Computer Engineering Department, Kocaeli University, Izmit, Turkey;Computer Engineering Department, Kocaeli University, Izmit, Turkey;Computer Engineering Department, Kocaeli University, Izmit, Turkey

  • Venue:
  • KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
  • Year:
  • 2005

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Abstract

In this paper, the aim is to solve the effect of a filter on an input signal by using fuzzy logic. We used the characteristic of lowpass filter for this application. If the input frequencies are very high, it will be reduced. We obtained a rule-base for emulating this characteristic. Two methods are used for this problem. In the first method, fuzzy inputs are signal values and the differences of the signal values. This is called “the difference method”. The other approach is to calculate the average of two discrete values of the signal. As known, averaging is simple lowpass filter which smoothes out high frequency variations in a signal. But fuzzy approach is used for averaging of the signal. And this is called “the average method”.