Source Separation of Steganography Mixed Audio Signal

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.