Bayesian detection of random signals on random backgrounds

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Abstract

This paper describes a general approach to signal detection with uncertainty in signal and/or background distributions. Attention is restricted to binary decision problems where the hypotheses can be expressed as signal-present as signal-absent, but otherwise the treatment is general. Many familiar results come out as special cases.

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Barrett, H. H., & Abbey, C. K. (1997). Bayesian detection of random signals on random backgrounds. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1230, pp. 155–166). Springer Verlag. https://doi.org/10.1007/3-540-63046-5_12

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