• DocumentCode
    2392961
  • Title

    Data-dependent filtering using the fuzzy inference

  • Author

    Taguchi, Akira ; Takashima, Hironori ; Russo, Fabrizio

  • fYear
    1995
  • fDate
    24-26 April 1995
  • Firstpage
    752
  • Abstract
    This paper presents a design method of data-dependent filters by using fuzzy inference. Since the antecedents of fuzzy inference can be composed of many local characteristics, it is possible for the proposed filter to adjust its weights to adapt to local data in input signal. The tuning of membership functions of the proposed filter results in LMS like algorithm
  • Keywords
    Adaptive filters; Data engineering; Design engineering; Design methodology; Electronic mail; Filtering; Fuzzy sets; Least squares approximation; Signal processing; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 1995. IMTC/95. Proceedings. Integrating Intelligent Instrumentation and Control., IEEE
  • Conference_Location
    Waltham, MA, USA
  • Print_ISBN
    0-7803-2615-6
  • Type

    conf

  • DOI
    10.1109/IMTC.1995.515416
  • Filename
    515416
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2392961