2026-06-27T23:33:07Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/3942 2021-12-13T00:50:10Z 1582963302567:1597824273898 user-ucsy

Source Separation of Steganography Mixed Audio Signal Tint, Yawai Mya, Khin Than 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. 2011-05-05 http://hdl.handle.net/20.500.12678/0000003942 https://meral.edu.mm/records/3942