Wavelet Based Independent Component Analysis for Multi-Channel Source Separation

@article{Moussaoui2006WaveletBI,
  title={Wavelet Based Independent Component Analysis for Multi-Channel Source Separation},
  author={Rachid Moussaoui and Jean Rouat and Roch Lefebvre},
  journal={2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings},
  year={2006},
  volume={5},
  pages={V-V}
}
We consider the problem of separating instantaneous mixtures of different sound sources in multi-channel audio signals. Several methods have been developed to solve this problem. Independent component analysis (ICA) is certainly the most known method and the most used. ICA exploits the non-Gaussianity of the sources in the mixtures. In this study, we propose an improved signal separation algorithm where simultaneously we increase the non-Gaussian nature of signals and we initiate the… CONTINUE READING

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