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阶跃伏安法中离散数据处理方法 Ⅲ.样条最小二乘法 被引量:4

Methods of Handling Discrete Data for Step Voltammetry Ⅲ. Spline Least Square Method
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摘要 本文对采用样条最小二乘法处理低信噪比的阶跃伏安法离散数据的噪声滤除、导数卷积的应用原理作了详细讨论.从理论模拟数据和实验数据的测试结果表明,样条最小二乘法在处理波形复杂、含强白噪声的信号时,呈现了目前文献报道的分析信号处理方法所没有的优点.具有广阔的应用前景. In this paper, spline least square method (SLSM) was introduced into Step Voltammetry to deal with discrete data containing strong white noise. The mathematical principle of SLSM was described in detail and the effect of treating various type of digtal signal with strong white noise was discussed. In this method, the problem how to choose target function is neglect and many kinds of complex non-linear curve fitting become acceptable. Testing it with thoeretical 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.
机构地区 中山大学化学系
出处 《化学学报》 SCIE CAS CSCD 北大核心 1995年第3期275-280,共6页 Acta Chimica Sinica
基金 国家自然科学基金资助的项目
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参考文献6

二级参考文献2

  • 1莫金垣,中山大学学报,1991年,30卷,1期,52页
  • 2团体著者,数学手册,1979年

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