Simultaneous application of spline wavelet and Riemann–Liouville transform filtration in electroanalytical chemistry

Abstract

The spline wavelet can be applied to the processing of signals. It is particularly appropriate for processing nonstationary signal noise. Riemann–Liouville transform (RLT) filtration can be used to remove extraneous currents from faradaic current, but it is not suitable for filtering random noise. Spline wavelet and RLT filtration are combined for the first time to filter random noise as well as extraneous currents. Signals with a signal-to-noise ratio of 0.8 can be filtered. Results of processing experimental data are satisfactory.

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