计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (25): 51-53.
• 学术探讨 • 上一篇 下一篇
史晓霞1,李军治2
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SHI Xiao-xia1,LI Jun-zhi2
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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。
关键词: 时间序列, 消噪, 信号处理, 事件, 傅里叶变换
Abstract: 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.
Key words: time series, denoising, signal processing, event, Fourier transform
史晓霞1,李军治2. 时间序列消噪算法研究[J]. 计算机工程与应用, 2007, 43(25): 51-53.
SHI Xiao-xia1,LI Jun-zhi2. Research on denoising arithmetic[J]. Computer Engineering and Applications, 2007, 43(25): 51-53.
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