期刊文献+

正弦信号中趋势项和野点的识别与去除

The Recognition and Removal of Trend Terms and Outliers in Sine Signal
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摘要 实验中经常会因为仪器自身或是外界干扰的原因,使实验测量的正弦信号存在趋势项或是野点,使其值与理论值不符,无法进行实验分析。因此,本文以matlab软件为编程工具,分别对一般信号和正弦信号模拟,并用最小二乘法实现信号中趋势项和野点的去除,从而得到准确的数据,为正确分析信号特点提供可靠的依据。 In experiments, the trend terms or outliers exist in sine signal of experimental measurement because of the instrument itself or outside interference. Then it makes its values different with theoretical values. It is difficult to analyze the experimental data. Therefore, it is simulated for the general signal and sine signal based on matlab software programming tool, and removes the trend terms and outliers in the sine signal by the least square method. Thus, it can ensure the accuracy of the experiment data and provide reliable basis in analyzing the characteristics of the signal.
作者 何腊梅 樊秉鑫 HE La-mei;FAN Bing-xin(College of Information Engineering, Longdong University, Qingyang 745000, Gansu;Qingyang Forestry School, Qingyang 745000, Gansu)
出处 《陇东学院学报》 2018年第1期6-9,共4页 Journal of Longdong University
关键词 趋势项 野点 最小二乘法 trend terms outliers the least square method
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