Blind Signal Separation : Statistical Principles

@inproceedings{Cardoso1998BlindSS,
  title={Blind Signal Separation : Statistical Principles},
  author={Jean-François Cardoso},
  year={1998}
}
Blind signal separation (BSS) and independent component analysis (ICA) are emerging techniques of array processing and data analysis that aim to recover unobserved signals or “sources” from observed mixtures (typically, the output of an array of sensors), exploiting only the assumption of mutual independence between the signals. The weakness of the assumptions makes it a powerful approach, but it requires us to venture beyond familiar secondorder statistics. The objectives of this paper are to… CONTINUE READING
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