Signal Detection with Fuzzy Observations
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.
KeywordsMembership Function Signal Detection Detection Probability Fuzzy Information Stochastic Signal
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