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http://dx.doi.org/10.6109/jkiice.2019.23.1.47

Improvement of Spectrum Detection Algorithm for Mass Spectrometer  

Lee, Young Hawk (Department of Education, Dongeui University)
Choi, Hun (Department of Electronic Engineering, Dongeui University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.1, 2019 , pp. 47-54 More about this Journal
Abstract
An improved method of spectrum detection algorithm for mass spectrum analysis system is proposed. In the conventional spectrum detection algorithm that utilizes the results of the linear approximation and quadratic curve fitting on the ion signal block of each mass index, it is possible to reduce the detection error in the mass spectrum detection by further improving the condition of eliminating the invalid ion signals. Also, the proposed method can reduce the estimation error of the peak value of the mass spectrum by using the result of quadratic curve fitting for the effective ion signal block in which the peak position error is corrected. To evaluate the effectiveness of the proposed method, computer simulations were carried out step by step using the measured ion signal. Also, by comparing the rate of false detection for several inputs, the proposed method showed better detection performance than the conventional method.
Keywords
Mass Spectrum Analyzer; Spectrum Detection; Quadratic Curve Fitting; Linear Fitting; Peak Position Error;
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Times Cited By KSCI : 4  (Citation Analysis)
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