摘要
为了去除数据采样中的不真实数据,根据未确知有理数理论提出了一种新的采样数据的滤波方法。具体过程是先赋予采样数据一种全新的定义,并构造采样数据的可信度分布密度函数,然后在数据滤波时根据数据的可信程度,用未确知期望表示采集量的真实值。该滤波方法计算简便,对偶然波动的抑制能力强,有较高的实际应用价值。
In order to get rid of the untruthful sampled data, a new method data filtering is put forward in accordance with the theory of unascertained rational number. The first specific procedure is assigning a new definition to the sampled data, and building the distribution density function of confidence; then the true value of sampled data is expressed by unascertained expectation during data filtering based on confidence level of the data. The method is simple in calculation and offers high restraining capability to occasional fluctuation, thus it is worth to be used in practical applications.
出处
《自动化仪表》
CAS
2008年第8期12-14,共3页
Process Automation Instrumentation
基金
宁夏高等学校科研项目(编号:2006JY010)
关键词
数据采集
数据滤波
有理数
未确知期望
分布密度函数
Data acquisition
Data filtering
Rational number
Unascertained expectation
Distribution density function
