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Channelized-ideal observer using Laguerre–Gauss channels in detection tasks involving non-Gaussian distributed lumpy backgrounds and a Gaussian signal

We investigate a channelized-ideal observer (CIO) with Laguerre–Gauss (LG) channels to approximate ideal-observer performance in detection tasks involving non-Gaussian distributed lumpy backgrounds and a Gaussian signal. A Markov-chain Monte Carlo approach is employed to determine the performance of...

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Detalles Bibliográficos
Main Authors: Park, Subok, Barrett, Harrison H., Clarkson, Eric, Kupinski, Matthew A., Myers, Kyle J.
Formato: Artigo
Idioma:Inglês
Publicado: 2007
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC2655642/
https://ncbi.nlm.nih.gov/pubmed/18059906
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