Comparison of Algorithms For Fitting a Gaussian Function Used in Testing Smart Sensors

Elena Pastuchová and Michal Zákopčan

Abstract

This article offers useful algorithms for estimating the parameters of the Gaussian curve fitted to observed data, gained in testing of sensors. Fitting was realized using two algorithms Caruanas and Guos, which have been compared.

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  • [1] SZABADOS, L.-LÍŠKA , O.: Smart senzorov´e siete a pr´ıklady ich vyuˇzitia (Smart Sensor Nets and Examples of their Applica- tion), In: http://www.sjf.tuke.sk/transferinovacii/pages/archiv/transfer/7-2004/pdf/157-160.pdf (Accessed 2014-04-02).. (in Slovak)

  • [2] PRESS, W.-TEUKOLSKY, S.-VETTERLINK, W.-FLAN- NERY, B. : Numerical Recipes: The Art of Scientific Com- puting, 3rd ed., Cambridge Univ. Press, New York, 2007, pp. 733-836.

  • [3] CARUANA, R.-SEARLE, R.-HELLER, T.-SHUPACK, S. : Fast Algorithm for the Resolution of Spectra, Anal. Chem. 58

  • No. 6 (May 1986), 1162-1167.

  • [4] GUO, H. : A Simple Algorithm for Fitting a Gaussian Function, IEEE Signal Process. Mag. 28 No. 5 (2011), 134-137.

  • [5] DIAS PEREIRA, J. M.-POSTOLACHE, O.-SALGADO, R.-SILVA GIRAO, P. : Voltammetry Based Automated In- strument For In-situ and Online Measurement of Heavy Metals Concentration in Water, IEEE Transactions on Instrumentation and Measurement No. 1 (2007).

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