Intelligent Signal Processing for Detection System Optimization
Description:
A wavelet-neural network signal processing method has demonstrated approximately tenfold improvement over traditional signal-processing methods for the detection limit of various nitrogen and phosphorus compounds from the output of a thermionic detector attached to a gas chromatograph. A blind test was conducted to validate the lower detection limit. All fourteen of the compound spikes were detected when above the estimated threshold, including all three within a factor of two above the thresho…
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Date:
December 5, 2004
Creator:
Fu, C. Y.; Petrich, L. I.; Daley, P. F. & Burnham, A. K.
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Partner:
UNT Libraries Government Documents Department