Digital Filter Threshold Algorithm Based on Clustering Analysis

摘要：

A new digital filter algorithm is proposed. The concept of support and effective support quantity is introduced to survey the degree of measured data reliability. How to choose the filter threshold is key to determine support quantity. First measured data is classified, and then different filter thresholds are determined according to the different classification numbers. It can repress the proliferation of abnormal data influence on the case of not losing useful information. Because of the introduction of the effective support quantity, it can remove the remnant influence of abnormal data further. The data experiment confirms that when some abnormal data appear continuously and the true value jumps, it has good anti-interference and fast tracking ability comparing with same kinds of algorithms.

作者: Fei-na CAI Qin-xian LIU

作者单位: Zhejiang University of Technology, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）