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 vs signal-absent, but otherwise the treatment is general. Many familiar results come out as special cases.
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References
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© 1997 Springer-Verlag Berlin Heidelberg
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Barrett, H.H., Abbey, C.K. (1997). Bayesian detection of random signals on random backgrounds. In: Duncan, J., Gindi, G. (eds) Information Processing in Medical Imaging. IPMI 1997. Lecture Notes in Computer Science, vol 1230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63046-5_12
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DOI: https://doi.org/10.1007/3-540-63046-5_12
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63046-3
Online ISBN: 978-3-540-69070-2
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