Signal Detection with Fuzzy Observations

  • Iickho Song
  • Jinsoo Bae
  • Sun Yong Kim
Part of the Signals and Communication Technology book series (SCT)


During the past years, it has been pointed out by several authors that imprecise information is common in signal processing areas. For example, information such as ’the noise characteristic of a certain channel is impulsive’ is imprecise in nature since we cannot clearly (quantitatively) describe the impulsive noise. It is needless to say that there are many other examples containing vagueness in information. Based on this observation, applications of the fuzzy set theory have been devoted to several signal processing problems including digital signal restoration, image segmentation, biomedical signal processing, and digital filter design.


Membership Function Signal Detection Detection Probability Fuzzy Information Stochastic Signal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Iickho Song
    • 1
  • Jinsoo Bae
    • 2
  • Sun Yong Kim
    • 3
  1. 1.Dept. EEKorea Advanced Institute of Science and TechnologyYuseong Gu, DaejeonKorea
  2. 2.Sejong UniversitySeoulKorea
  3. 3.Department of Electronic EngineeringKonkuk UniversitySeoulKorea

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