摘要
时域平均是从混有噪声的复杂周期信号中提取感兴趣周期分量的常用方法，但在其实施时往往由于周期截断误差的存在而不能取得满意的效果。本文提出了信号时域平均处理的新算法，基本上解决了周期截断误差对平均结果的影响问题。
Time domain averaging (TDA) is a common method to extract a periodic component of interest from a noisy compound signal. With the period of the interesting component determined, some segments in the same length of the period are often consecutively cut out from the compound signal to be averaged. In such averaging based on digital computers, the period actually used usually possesses some errors, here called period cutting error, which is less than half a sampling interval. It has been found that there is a large bad influence of the period cutting error on the above traditional TDA. A new algorithm for TDA is introduced. In the new algorithm, the segments are quasiconsecutively cut out to prevent the period cutting error from accumulating, which basically solves the problem caused by the period cutting error. With some tests and analyses, it is shown that the new algorithm is much better than the original one.
出处
《振动工程学报》
EI
CSCD
1999年第3期344-347,共4页
Journal of Vibration Engineering
关键词
信号处理
时域分析
时域平均
周期截断误差
signal processing
time domain analysis
time domain averaging
period cutting error
