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Statistical decision by using quantized observations

Abstract : In the last two decades substantial progress has been made in the detection of hidden information or hidden communication channels in media files or streams. Typically, it is necessary to reliably detect in a huge set of files (image, audio, and video) which of these files contain the hidden information. The goal of this paper is to study the problem of hypothesis testing based on quantized observations by using a parametric statistical model with nuisance parameters and to apply the obtained tests to the hidden information detection.
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Conference papers
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https://hal-utt.archives-ouvertes.fr/hal-02362342
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Wednesday, November 13, 2019 - 6:37:28 PM
Last modification on : Thursday, June 25, 2020 - 12:32:04 PM

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Rémi Cogranne, Cathel Zitzmann, Lionel Fillatre, Florent Retraint, Igor Nikiforov, et al.. Statistical decision by using quantized observations. 2011 IEEE International Symposium on Information Theory - ISIT, Jul 2011, St. Petersburg, Russia. pp.1210-1214, ⟨10.1109/ISIT.2011.6033727⟩. ⟨hal-02362342⟩

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