时间序列消噪算法研究  

Research on denoising arithmetic

作　　者：史晓霞[1] 李军治 

机构地区：[1]北京建筑工程学院自动化系,北京100044 [2]北京神州数码思特奇公司研究院,北京100085

出　　处：《计算机工程与应用》2007年第25期51-53,共3页Computer Engineering and Applications

基　　金：北京建筑工程学院博士基金项目(No.100600815)。

摘　　要：信号处理方法是最常用的时间序列消噪方法。但由于这种方法仅考虑了频率因素,因此会损失某些有用的突变信息。同时滤波器本身及其参数的选择也较复杂。针对以上不足,提出了基于事件的消噪算法,该方法利用曲线的极值、斜率、曲率特征进行消噪,其优点通过对傅里叶变换消噪法及新方法的比较研究和实验得到了证明。Signal processing is the most populated method for time series denoising.But with the method,valued information with high frequency but high swing is also thrown.This is because signal processing method just takes frequency into consideration. Furthermore,the selection of a filter and its input arguments is also difficult.To avoid the above shortages of signal processing method,an event based denoising arithmetic has been proposed.The arithmetic utilizes curve features as extremum,slope and curvature to achieve denoising.Advantages of the method have been illustrated by the comparison between denoising method based on Fourier transform and the new method through principle research and experimentations.

关 键 词：时间序列 消噪 信号处理 事件 傅里叶变换 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]