Electroanalytical signal processing method based on B-spline wavelets analysis

Abstract

A signal processing technique based on the B-spline wavelet was applied to process various simulated electroanalytical signals. The results indicate that if optimal B-spline wavelet multiresolution analysis (WMRA) and scale parameters are selected, the procedure can remove high-frequency noise. Most often the third-order B-spline WMRA is the most effective. Experimental signals were recorded by computer and used to test the WMRA procedure. After processing with WMRA, the processed data were used to calculate stability constants. The processed results of the experimental data were satisfactory.

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