基于奇异点检验的SG阈值滤波算法  

SG Threshold Value Filtering Algorithm Based on Singular Point Detection

作　　者：刘晓光[1] 窦曼莉[1] 门晓金[1] 石春[1] 吴刚[1] 

机构地区：[1]中国科学技术大学自动化系工业自动化研究所,合肥230027

出　　处：《数据采集与处理》2014年第5期743-748,共6页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金青年基金(31000672)资助项目

摘　　要：SG(Savitzky-Golay)滤波算法是一种去除数字信号中白噪声的有效算法。在实际应用中,这种基于移动窗口的最小二乘算法有一个核心问题有待解决,即如何在保证滤波效果的前提下,尽可能的保留信号中的波峰信息。本文通过理论分析提出了一种SG阈值滤波算法,可以对不同特征的信号区间采取不同的SG滤波策略,并基于白噪声奇异点检验和迭代算法的思想,提出了一种阈值确定算法,增强了这种SG阈值滤波算法的实用性和方便性。Savitzky-Golay （SG） filtering algorithm is an effective algorithm to remove the white noise in digital signal. The algorithm is based on the least squares algorithm, whose essential concern is how to ensure the filtering effect while remain the information of signals as much as possible. A SG threshold value filtering algorithm is put forward through the theoretical analysis to take different SG filtering strategy in different signal intervals with different characteristics. Then, based on the white noise singular point detection and iterative algorithm, a threshold value determination algorithm is proposed to enhance the practicability and the convenience of the SG threshold value filtering algorithm.

关 键 词：SG滤波算法 白噪声 阈值滤波 奇异点检验 迭代算法 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]