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文章摘要
基于噪声相关特性的数学形态学消噪原理研究
Research on the principle of mathematical morphology denoising based on noise correlation
Received:November 16, 2016
Revised:December 16, 2016
DOI：
中文关键词
:
数学形态学
信号消噪
噪声相关性
结构元素
随机白噪声
英文关键词
:
基金项目
:
国家自然科学基金项目（ 重点项目）
Author Name
Affiliation
E-mail
HUANGZHEZHU
*
Shenyang Power Supply Company
,
Liaoning Electric Power Company Limited
,
Shenyang
16281116@qq.com
WANGYANG
Shenyang Power Supply Company
,
Liaoning Electric Power Company Limited
,
Shenyang
zjlzl@dhhb.com
LIYUEYUE
Shenyang Power Supply Company
,
Liaoning Electric Power Company Limited
,
Shenyang
zjlzl@dhhb.com
WANGXUZE
Liaoning Power Supply Company
,
Liaoning Electric Power Company Limited
,
Dalian
zjlzl@dhhb.com
QIZHENG
North China Electric Power University
,
zjlzl@dhhb.com
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中文摘要
:
结合电力信号采集中噪声的相关性理论和数学形态学基本原理，本文通过数值仿真详细研究了自相关噪声和随机白噪声干扰下，数学形态学滤波中关于结构元素如何选取的问题。分析指出，针对自相关噪声，结构元素的选择与噪声的周期性，最大峰值及采样率等因素密切相关。类似高频正弦噪声，通过选择合适尺度的正余弦形或三角形结构元素进行形态滤波均能取得良好的滤波效果。而对于随机白噪声而言，由于不具有自相关特性，因此并不存在类似相关噪声下的结构元素选取规律，多数情况需要通过预先的仿真或根据经验来合理选择结构元素。
英文摘要
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