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一种针对拖尾噪声的消噪效果衡量准则
引用本文:简涛,苏峰,平殿发,李牧. 一种针对拖尾噪声的消噪效果衡量准则[J]. 现代雷达, 2007, 29(1): 55-56,79
作者姓名:简涛  苏峰  平殿发  李牧
作者单位:1. 海军航空工程学院信息融合技术研究所,山东,烟台,264001
2. 海军兵种指挥学院作战指挥系,广州,510430
基金项目:教育部全国优秀博士学位论文作者专项基金
摘    要:文中由于拖尾噪声有更多的异常值,利用传统的消噪效果评价标准不能客观地评价不同消噪方法对拖尾噪声的抑制能力,文中提出利用信噪比提高值和最大误差值两个量来衡量不同方法的消噪效果,并给出了具体计算公式。实验结果表明,与传统的评价方法相比,文中所提的量化方法能更客观地评价不同方法对拖尾噪声的抑制能力。

关 键 词:拖尾噪声  信噪比  误差  小波  中值滤波
修稿时间:2006-07-102006-10-27

Effective Measurement for Methods of Removing Heavy-tailed Noise
JIAN Tao,SU Feng,PING Dian-fa,LI Mu. Effective Measurement for Methods of Removing Heavy-tailed Noise[J]. Modern Radar, 2007, 29(1): 55-56,79
Authors:JIAN Tao  SU Feng  PING Dian-fa  LI Mu
Affiliation:1. Research Institute of Information Fusion, Naval Aeronautical Engineering Institute, Yantai 264001, China;2. Department of Operational Command, Naval Arms Command Academy, Guangzhou 510430, China
Abstract:The traditional effectiveness measures for denoising is not appropriate for heavy-tailed noise, because it has more outliers than common noise. The new measure based on enhanced signal-to-noise ratio and maximal reconstruction error is proposed. The expressions are also given in detail. The experimental results show that the proposed effectiveness measure is more proper for heavy-tailed noise than traditional ones.
Keywords:heavy-tailed noise    signal-to-noise ratio   error   wavelet   median filter
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