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Source Separation of Steganography Mixed Audio Signal
http://hdl.handle.net/20.500.12678/0000003942
http://hdl.handle.net/20.500.12678/0000003942b8c59eaf-3786-4569-9974-a7e111459de4
381748ac-b730-4b52-ad87-82d7745e993e
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9046.pdf (216 Kb)
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Article | ||||||
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Publication | ||||||
Title | ||||||
Title | Source Separation of Steganography Mixed Audio Signal | |||||
Language | en | |||||
Publication date | 2011-05-05 | |||||
Authors | ||||||
Tint, Yawai | ||||||
Mya, Khin Than | ||||||
Description | ||||||
The research on blind source separation isfocus in the community of signal processing andhas been developed in recent years. This paperproposes enhance audio steganalysis technique,which adopts Independent Component Analysis(ICA) for steganography detection andextraction process. Steganography can besuccessfully detected during the PrincipleComponent Analysis (PCA) whitening stage. Anonlinear ICA algorithm, which is able toefficiently extract various temporally correlatedsources from their observed linear mixtures, isused for blind steganography extraction. | ||||||
Keywords | ||||||
Steganalysis, Independent component analysis (ICA), blind signal separation | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/166 | |||||
Journal articles | ||||||
Ninth International Conference On Computer Applications (ICCA 2011) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |