摘要
分析多次采样取平均值和经典的包络均值方法,指出这两种方法的优缺点.提出改进的增量包络均值滤波(I-EMF)算法:先将采样信号递归平均重建,以削弱幅值过高的噪声信号点;然后在实时提取的重建信号上下包络中引入合理的衰减量;最后计算包络均值作为真实信号的估计值.通过仿真分析和实验验证,该算法具有较好的信号处理与去噪性能.
We analyse the multiple sampling average and classic envelope average method,point out the advantages and disadvantages of the two methods. Then an improved incremental envelope mean filter (I-EMF) algorithm is proposed. First,recursiving average reconstruction of sampled signals in order to weaken the noise signal at high amplitude. Reasonable attenuation is then introduced in the re-al time extraction of the reconstructed signal.Finally,the estimated value of the envelope is estimated as the real signal.Through simulation analysis and experimental verification, the algorithm has better denoising performance and signal processing.
作者
林德荣
赖添悦
林琼斌
王武
LIN Derong LAI Tianyue LIN Qiongbin WANG Wu(College of Electrical Engineering and Automation,Research Center for Advanced Process Control,Fuzhou University,Fuzhou,Fujian 350116,China)
出处
《福州大学学报(自然科学版)》
CAS
北大核心
2017年第3期362-366,373,共6页
Journal of Fuzhou University(Natural Science Edition)
基金
福建省自然科学基金资助项目(2013J01178)
关键词
反馈信号
信号去噪
包络滤波
信号检测
feedback signal
signal denoising
envelope filter
signal detection