Monaural Ica of White Noise Mixtures Is Hard

@inproceedings{Hansen2003MonauralIO,
  title={Monaural Ica of White Noise Mixtures Is Hard},
  author={Lars Kai Hansen and Kaare Brandt Petersen},
  year={2003}
}
Separation of monaural linear mixtures of ‘white’ source signals is fundamentally ill-posed. In some situations it is not possible to find the mixing coefficients for the full ‘blind’ problem. If the mixing coefficients are known, the structure of the source prior distribution determines the source reconstruction error. If the prior is strongly multi-modal source reconstruction is possible with low error, while source signals from the typical ‘long tailed’ distributions used in many ICA… CONTINUE READING

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