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Unsupervised adaptation and classification of multiple classes and sources in blind signal separation

  • US 6,424,960 B1
  • Filed: 10/14/1999
  • Issued: 07/23/2002
  • Est. Priority Date: 10/14/1999
  • Status: Expired due to Fees
First Claim
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1. A computerized method of separating an independent source signal from a mixture of source signals, comprising:

  • receiving said mixture of source signals into a plurality of data inputs of a computer, reading a sample of said mixture of source signals from said data inputs;

    comparing said sample to previously received samples of said source signals;

    classifying said sample based on its similarity to other samples from said mixture of source signals; and

    performing independent component analysis on said classified sample to separate an independent source signal in said sample from other signals in the class of signals.

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