Wavelet domain audio steganalysis based on statistical moments and PCA

@article{Fu2007WaveletDA,
  title={Wavelet domain audio steganalysis based on statistical moments and PCA},
  author={Jian-Wen Fu and Yin-Cheng Qi and Jin-Sha Yuan},
  journal={2007 International Conference on Wavelet Analysis and Pattern Recognition},
  year={2007},
  volume={4},
  pages={1619-1623}
}
A wavelet domain audio steganalysis method based on principal component analysis (PCA) is proposed. The audio signal is firstly decomposed by 4-level discrete wavelet transform, then the 36 statistical moments of the histogram and the frequency domain histogram for both the audio signal and its wavelet subbands are calculated as features, then the preprocessing of PCA is used on the statistics features and radial basis function (RBF) network is utilized as a classifier. The proposed scheme not… CONTINUE READING
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