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首次提出了二阶样条小波卷积分峰法,通过二阶样条小波与重叠化学信号的卷积运算,确定出各组分的峰位置和峰宽之比,再利用样条函数构造峰分辨器,分辨重叠信号,同时给出了方法的理论依据,并对参数的选择进行了讨论。对大量仿真信号和实验信号的处理实践表明,分辨后信号可以达到基线分离,峰位置相对误差小于0.2％,峰面积相对误差小于4.0％,即使对于重叠严重的信号,也能获得满意结果。该方法可以直接用于含噪音的及多个峰的重叠体系,是一种分辨重叠信号的有效新方法。
The second-order spline wavelet convolution integral peak method is proposed for the first time. By convolution operation of second-order spline wavelet and overlapped chemical signal, the peak position and peak width ratio of each component are determined, and then spline function is used to construct peak resolution Device, to distinguish overlapping signals, at the same time gives the theoretical basis of the method, and discusses the choice of parameters. The processing of a large number of simulation signals and experimental signals shows that the signal can be separated after baseline resolution, the relative error of the peak position is less than 0.2%, and the relative error of the peak area is less than 4.0%. Satisfactory results can be obtained even for signals with serious overlap. This method can be directly applied to the overlapping system with noises and multiple peaks, and it is an effective new method to distinguish overlapping signals.