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Adaptive, neural-based signal processor

  • US 4,979,124 A
  • Filed: 10/05/1988
  • Issued: 12/18/1990
  • Est. Priority Date: 10/05/1988
  • Status: Expired due to Fees
First Claim
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1. A neural-like processing method for analyzing acoustic emission signals that emanate from a medium under test, comprising the steps of:

  • (a) obtaining acoustic emission signals emanating from a medium under test to which a known source signal has been applied;

    (b) encoding said known source signal with a descriptor characteristic of said known source signal, such as its location with respect to the medium, its strength, and its time function;

    (c) concatenating said obtained acoustic emission signals to form a series chain of acoustic emission signals defining a pattern vector representative of said medium under test;

    (d) appending said known source descriptor to said series chain;

    (e) introducing said pattern vector to a storage medium;

    (f) repeating steps (a) through (e) a number of times in order to establish a data base characterizing the medium and its response to known source signals; and

    (g) synthesizing from said data base in said storage medium, characteristics of an unknown source based upon simulated acoustic emissions, or characteristics of acoustic emissions based upon a simulated unknown source.

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