Blind Source Separation of Natural Signals Based on Approximate Complexity Minimization

  title={Blind Source Separation of Natural Signals Based on Approximate Complexity Minimization},
  author={Petteri Pajunen},
An approach to blind source separation is presented based on minimizing complexity. The diiculty of measuring complexity of signals is dealt with by assuming that the signals are Gaussian, time-correlated stochas-tic processes. In a special case, this approach coincides with previously proposed methods where the separating solution is obtained from the eigendecomposition of a cross-correlation matrix. 

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