Abstract:
The research on blind source separation is
focus in the community of signal processing and
has been developed in recent years. This paper
proposes enhance audio steganalysis technique,
which adopts Independent Component Analysis
(ICA) for steganography detection and
extraction process. Steganography can be
successfully detected during the Principle
Component Analysis (PCA) whitening stage. A
nonlinear ICA algorithm, which is able to
efficiently extract various temporally correlated
sources from their observed linear mixtures, is
used for blind steganography extraction.
