• DocumentCode
    2445854
  • Title

    Temporal fuzziness in communications systems

  • Author

    Kartalopoulos, Stamatios V.

  • Author_Institution
    AT&T Bell Labs., Holmdel, NJ, USA
  • Volume
    7
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Abstract
    Communication systems are real-time deterministic, well defined systems that transport voice/data signals from point A to point B reliably. However, the transmitted signal is subject to significant distortion by the very harsh environment, the medium, and the system itself. Despite this, data reaches its destination crisply or error-free. To achieve the high quality of error-free data, mechanisms that affect the quality of signal are addressed a priori and countermeasures are developed so that the potentially “fuzzifiers” are removed or “de-fuzzified”. Here, the fuzzification-defuzzification process of the signal in real-time communication systems is addressed in the context of temporal fuzziness or fuzziness in the time domain. Temporal fuzzy factors that affect the operation of communication systems and their signal transmission are illustrated, analyzed, and the de-fuzzification process is discussed
  • Keywords
    fuzzy logic; fuzzy set theory; information theory; signal processing; telecommunication; time-domain analysis; uncertainty handling; communications systems; fuzzifiers; real-time; signal defuzzification process; signal quality; signal transmission; temporal fuzziness; time domain; Boolean functions; Context; Distortion; Electromagnetic scattering; Fuzzy logic; Fuzzy systems; Microscopy; Real time systems; Signal analysis; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.375049
  • Filename
    375049