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Signal processing in normal pulse voltammetry by means of dedicated mother wavelet

机译：通过专用母小波进行正常脉冲伏安法中的信号处理

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摘要

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.
机译：在工作中，提出了一种新的信号处理算法，并将该算法用于将以常规脉冲伏安法（NPV）记录的S形曲线转换为峰形曲线。该方法基于连续小波变换（CWT）和使用理想波形曲线定义的特殊构造的母小波。信号的转换，噪声的消除和重叠数据的分离可以通过建议的过程一步完成。使用理想的，有噪声的和重叠的仿真曲线来展示算法的操作和有效性。描述了同时测定铅和铟的过程以及对元素离子（铅，铟，th和镉离子）配准的曲线进行转换的过程。所得结果表明NPV的性能有实质性的改善。

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