Summarized by its ROC curve, the performance of a Bayes optimal detector is a function of two joint a priori probability density functions on the uncertain parameters involved. An investigation is made to determine at what point in the generation of an ROC curve for a given pair of priors sufficient information is retained for the calculation of a new ROC based on a different pair of priors.
Performance of Likelihood Ratio Processors
IEEE Transactions on Aerospace and Electronic Systems ; AES-15 , 4 ; 571-573
1979-07-01
563613 byte
Article (Journal)
Electronic Resource
English
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