摘要
在进行数字信号分析中,首先必须要对信号进行预处理。这样一方面是对该信号的特性作判定,以便采用何种方法来进行处理,因为工程项目中的信号其不确定性因素很多,所采用的方法也不同,这应该是对信号定性的工作;同时做预处理也是对信号中一些由于机器、人为操作造成的异常数据的剔除,这可以归结为对信号定量的工作。根据对磁悬浮轨道长波不平顺测试数据的预处理,从而判定其为非平稳随机数据,针对该种数据的特性,采用现代信号时频分析的方法对其作进一步分析。
In digital signal analysis, the signal needs to be pretreated first. Because there are many uncertain factors in the engineering projects and the signal analysis methods are different too. The signal can be characterized through pretreatment so that the processing methods will be selected accordingly. This belongs to signal processing qualitative part. On the other hand, through pretreatrnent the abnormal signals caused by the machines or people error can be removed. This belongs to signal processing quantitative part. After the pretreatment of the track long-wave irregular testing data in the maglev railway, the signal was determined as non-stationary stochastic data. According to property of the data, modern signal time-frequency analysis method was applied for further study.
出处
《计算机应用》
CSCD
北大核心
2009年第B06期353-355,共3页
journal of Computer Applications
基金
国家973规划项目(2007CB714706)
关键词
磁悬浮轨道
长波不平顺数据
预处理
时域分析
magler track
long-wave irregular data
pretreatment
time domain analysis
