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Dimo Zidarov

Michel J Bertrand

A method of processing data representing intensity values of a measurement signal as a function of a discrete variable such as time, which signal being characterized by series of peaks mixed with a substantially regular background noise, provides efficient noise attenuation and peak detection capabilities. When applied to a two-dimensional system, the method comprises an initial step of forming an intensity histogram vector representing a frequency distribution from the intensity values, which intensity histogram vector having N frequency vector components associated with corresponding N intensity sub-ranges within a maximum range extending from a minimum intensity value to a maximum intensity value. This initial step is followed by a step of zeroing a portion of the data corresponding to the intensity values which are below an intensity threshold value derived from shape characteristics of the distribution. Then, the intensity threshold value is subtracted from each remaining portion of the data to obtain processed data representing the measurement signal in which each peak exhibits an enhanced signal-to-noise ratio. The method is also applicable to multi-dimensional measurement systems involving more than one variable, such as chromatography/mass spectrometry measurement techniques.

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Brossard, Canada

Dimo Zidarov