去卷积伏安法中离散数据处理的傅里叶最小二乘法研究  

Processing Discrete Data For Deconvolution Voltammetry Based on the Fourier Least Square Method

作　　者：卢小泉[1] 王希文[1] 王志华[1] 耿再新[1] 康敬万[1] 高锦章[1] 

机构地区：[1]西北师范大学化学研究所,兰州730070

出　　处：《计算机与应用化学》2000年第1期91-92,共2页Computers and Applied Chemistry

摘　　要：提出了傅里叶最小二乘法对卷积伏安数据的处理 ,经过参数优化后 ,处理后的伏安数据可以用于进一步的卷积伏安运算中 ,处理后的伏安波形未发生变形 ,峰位置准确。A procedure based on the Fourier least square method (FLSM) is proposed to treat a noise contaminated deconvolution signal. It was found that, after careful optimization of the parameters, the smoothed data can be further used to perform deconvolution analysis, and the shape of the processed voltammetric wave is not distorted, with accurate peak position and half peak width.

关 键 词：傅里叶 最小二乘法 去卷积伏安法 数据处理 

分 类 号：O657.14[理学—分析化学] O174.22[理学—化学]