温度测量系统中可调参数中位值平均滤波低复杂度算法

A modified algorithm of the Median-Average filtering method

在工程实践和实验中,由于存在外界干扰和硬件电路设计不合理等因素,会导致A/D采样数据发生跳变,造成数据异常。因此,常利用软件进行滤波,其中常用的一种非常有效的滤波方法为中位值平均滤波法,但此法在大样本采样的条件下,在进行冒泡排序时,拥有非常大的计算量,对硬件资源要求较高,且计算时间较长。本文提出一种改进的中位值平均滤波算法,该算法能提高计算效率,和经典算法相比,能够将软件滤波的计算时间最多降低96%,具有一定的工程应用和实践价值。

Due to the external interference and flaw of the circuit design,the data of the A/D conversion is hopping,even incorrect sometimes. To solve this problem,software-filter was often used. The Median-Average filtering method is a very useful one of it,but the disadvantage of it is the huge calculating complexity and the long processing time when the sample quantity is large. This paper proposed a modified algorithm with high efficiency,low calculating complexity and processing time. The computing time can be reduced by 96% at most.