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.


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    Title :

    Performance of Likelihood Ratio Processors


    Contributors:

    Published in:

    Publication date :

    1979-07-01


    Size :

    563613 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English