Methods of handling discrete data for step voltammetry Ⅲ.spline least square method

Abstract

Spline least square method (SLSM) was introduced into step voltammetry to deal with discrete data containing strong white noise. The math. principle of SLSM was described in detail and the effect of treating various type of digital signal with strong white noise was discussed. In this method, the problem how to choose target function is neglected and many kinds of complex nonlinear curve fitting become acceptable. Testing it with theor. and experimental data, it shows SLSM would be the best method in handling discrete data, it can give satisfactory results even if the signal-noise ratio is as low as 0.33.

Key words: VOLTAMMETRY, COMPUTER APPLICATIONS, LEAST SQUARE METHODS, STOICHIOMETRY, SPLINE APPROXIMATION

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XIE TIANYAO;MO JINYUAN. Methods of handling discrete data for step voltammetry Ⅲ.spline least square method[J]. Acta Chimica Sinica, 1995, 53(3): 275-280.

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