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  1. University of Computer Studies, Yangon
  2. Conferences

Source Separation of Steganography Mixed Audio Signal

http://hdl.handle.net/20.500.12678/0000003942
http://hdl.handle.net/20.500.12678/0000003942
b8c59eaf-3786-4569-9974-a7e111459de4
381748ac-b730-4b52-ad87-82d7745e993e
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9046.pdf 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
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