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The Evaluation Method of Smoothing Algorithms in Voltammetry
Author(s) -
Jakubowska Malgorzata,
Piech Robert,
Dzierwa Tomasz,
Wcislo Jacek,
Kubiak Wladyslaw W.
Publication year - 2003
Publication title -
electroanalysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 128
eISSN - 1521-4109
pISSN - 1040-0397
DOI - 10.1002/elan.200302751
Subject(s) - smoothing , algorithm , noise (video) , limit (mathematics) , function (biology) , computer science , calibration , correlation coefficient , calibration curve , set (abstract data type) , confidence interval , mathematics , detection limit , statistics , artificial intelligence , mathematical analysis , evolutionary biology , image (mathematics) , biology , programming language
The criterion for testing the influence of smoothing algorithms for the relevant parameters considered in analytical experiment is presented. The proposed approach assumes that the improvement of the whole set of measured curves should be considered. The calibration curve parameters with confidence intervals, correlation coefficient, detection limit, signal to noise ratio and parameters of recovery function are utilized for the evaluation. Performance of evaluation method is presented for several kinds of experimental noises.