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Method of pattern recognition using noise reduction uncertainty

  • US 7,769,582 B2
  • Filed: 07/25/2008
  • Issued: 08/03/2010
  • Est. Priority Date: 05/20/2002
  • Status: Expired due to Fees
First Claim
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1. A method of recognizing pattern states from a noisy signal, the method comprising:

  • a processor removing noise from a representation of a portion of the noisy signal to produce a representation of a portion of a cleaned signal by applying a correction vector for a mixture component;

    a processor identifying an uncertainty associated with removing the noise by applying a variance for a prior probability distribution of a clean signal and a variance associated with selecting the correction vector for the mixture component to a function;

    a processor using the uncertainty to adjust a probability distribution to form a modified probability distribution for the mixture component; and

    a processor applying the representation of a portion of the cleaned signal to the modified probability distribution to decode a pattern state.

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