Method to extract target signals of a known type from raw data containing an unknown number of target signals, interference, and noise
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United States of America Patent
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Dec 6, 2011
Grant Date -
Mar 25, 2010
app pub date -
Sep 22, 2008
filing date -
Sep 22, 2008
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Abstract
A signal analysis method extracts transient target signals of known type from a raw data source signal that contains an unknown number of target signals. The method can enhance the analysis of data obtained from in-line oil-debris sensors. The method comprises steps of: defining signatures of the known target signal, and of at least one of the intrinsic noise and interfering signals; performing a mathematical transform that decomposes the raw data into distinct data sets; using the signal signatures to identify and nullify the data sets containing noise and interfering signal signatures; using the target signal signatures to identify the data sets containing target signal components, or may further use a thresholding rule to remove intrinsic noise from said data sets, and finally applying the inverse transform to the processed data sets in order to reconstruct an enhanced output signal.
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