Method and apparatus for detecting and identifying a condition

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395 22, G06F 1500, G06F 1518

Patent

active

052671518

ABSTRACT:
A method and apparatus for sensing and classifying a condition of interest in a system from background noise in which a parameter representative of the condition of interest is sensed and an electrical signal representative of the sensed parameter is produced. The electrical signal is converted into a digital signal, this digital signal containing a signal of interest representative of the condition of interest and background noise. The digital signal is received by an artificial neural network which filters out the background noise to produce a filtered signal from the digital signal, and classifies the signal of interest from the filtered signal to produce an output representative of the classified signal.

REFERENCES:
patent: 4655225 (1987-04-01), Dahne et al.
patent: 4914603 (1990-04-01), Wood
patent: 5146541 (1992-09-01), Speidel

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