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Signal Processing in Normal Pulse Voltammetry by Means of Dedicated Mother Wavelet
Author(s) -
Jakubowska Małgorzata,
Kubiak Władysław W.
Publication year - 2008
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.200704037
Subject(s) - transformation (genetics) , wavelet , signal (programming language) , indium , voltammetry , algorithm , wavelet transform , materials science , ideal (ethics) , mathematics , computer science , physics , chemistry , electrode , artificial intelligence , optoelectronics , biochemistry , quantum mechanics , electrochemistry , gene , programming language , philosophy , epistemology
Abstract In the work, a new signal processing algorithm is presented and applied for the transformation of the sigmoidal shaped curves, registered in normal pulse voltammetry (NPV), to the peak shaped curves. The method is based on the continuous wavelet transform (CWT) and specially constructed mother wavelet defined using the ideal wave‐shaped curve. Transformation of the signal, elimination of noises and separation of overlapping data can be achieved in one step by means of proposed procedure. The operation and effectiveness of the algorithm is presented using ideal, noised and overlapping simulated curves. The process of simultaneous determination of lead and indium as well as transformation of curves registered for elements' ions: lead, indium, thallium and cadmium is described. The obtained results show substantial improvement of the performance of NPV.