<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

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

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

This article offers useful algorithms for estimating the parameters of the Gaussian curve fitted to observed data, gained in testing of sensors. Fitting was...

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

Data publikacji: 14 lip 2015

Zakres stron: 178 - 181

Otrzymano: 17 gru 2014

DOI: https://doi.org/10.2478/jee-2015-0029

Słowa kluczowe
smart sensors, Gaussian function, fitting algorithm, baseline correction

© Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Data publikacji: 14 lip 2015

Zakres stron: 178 - 181

Otrzymano: 17 gru 2014

DOI: https://doi.org/10.2478/jee-2015-0029

Słowa kluczowesmart sensors, Gaussian function, fitting algorithm, baseline correction

© Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
smart sensors, Gaussian function, fitting algorithm, baseline correction