In general , the data window is not long in length to use partial least square algorithm to develop model , some useful information would be lost if old samples are discarded directly . an idea is proposed to introduce the useful information to the model by the variances and means of old samples 同时考虑到用部分最小二乘算法建模的数据样本都不多,这时如果直接抛弃老样本同样可能会遗失部分信息,针对该问题本论文提出将老样本的部分信息通过方差和均值带到模型中来的思路。
Based on the spectrum correction theory , we propose an algorithm which is suitable for harmonics and inter - harmonics measuring . the simulation of the matlab proves that the algorithm can meet the demand of harmonics and inter - harmonics detection when choosing suitable length of data window , sampling frequency , and corresponding windows 在频谱校正方法的基础上,文章给出了一种基于dft频谱校正的谐波及间谐波检测算法,并通过仿真实例,证明在选取合适的时间窗长度、采样点数以及相应的窗函数时,算法可以比较精确地测量出各次谐波及间谐波的各项参数。