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基于模糊理论的空间屏蔽滤波信号去噪
引用本文:熊先泽,李言俊,张科,祁飞.基于模糊理论的空间屏蔽滤波信号去噪[J].光子学报,2008,37(10):2099-2102.
作者姓名:熊先泽  李言俊  张科  祁飞
作者单位:西北工业大学,航天学院,西安,710072
基金项目:航空基础科学基金,航天科技创新项目
摘    要:基于模糊理论提出了一种空间屏蔽滤波信号去噪方法.对信号进行二进小波变换后,对信号进行空间屏蔽滤波,对于未通过滤波器的系数进行模糊阈值处理实现去噪.通过对含噪HeaviSine和Doppler信号的去噪仿真,表明,该方法对噪音具有良好的抑制作用,能较好地保持信号在间断点处的信息.与传统空间屏蔽滤波相比,该方法对不同种类的含噪信号均具有良好的去噪效果.

关 键 词:空间屏蔽滤波  模糊阈值  信号去噪
收稿时间:2007-03-12
修稿时间:2007-06-14

Signal Denoising By Spatially Selective Noise Filtration Based on Fuzzy Threshold
XIONG Xian-Ze,LI Yan-Jun,ZHANG Ke,QI Fei.Signal Denoising By Spatially Selective Noise Filtration Based on Fuzzy Threshold[J].Acta Photonica Sinica,2008,37(10):2099-2102.
Authors:XIONG Xian-Ze  LI Yan-Jun  ZHANG Ke  QI Fei
Abstract:A new way for removing noises which is based on foggy theory (SSNF) was proposed.After twice wavelet converting and 3D filter,the coefficients which can′t be through the filters should be realized removing noises by foggy threshold treating.According to the simulating results that the noises signals of HeaviSine and Doppler are removed,it is found that this way has well function of inhibiting noises,and keeps the informations in interrupted dots.Compared with the traditional shielding filter,the SSNF has better effect of removing noises to different signal of containing noises.
Keywords:Spatially selective noise filtration  Fuzzy threshold  Signal denoising
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