电测与仪表2017，Vol.54Issue(20)：43-49,7.
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
摘要
Abstract
Combined with the correlation theory of noise and the basic theory of mathematical morphology in power signal acquisition, in this paper, the selection rules of structural elements in mathematical morphology filtering in the case of correlated noises and random white noise are studied by numerical simulation in detail. It is pointed out that the choice of the structural elements is closely related to the periodicity of the noise, the maximum peak value and the sampling rate. Similar to the high frequency sinusoidal noise, the good filtering effect can be achieved through the choice of the appropriate size of the sine and cosine shaped or triangular elements of the morphological filter. There are no similar selection rules of structural elements under the random white noise due to the absence of autocorrela-tion. Therefore, there is no similar structural elements selection law under the noises correlation, which needs to be reasonably selected according to the experience or pre-simulation in most of the cases.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Key words
mathematical morphology/signal denoising/noise correlation/structure element/random white noise分类
信息技术与安全科学引用本文复制引用
黄哲洙,王洋,李悦悦,王旭泽,齐郑..基于噪声相关特性的数学形态学消噪原理研究[J].电测与仪表,2017,54(20):43-49,7.基金项目
国家自然科学基金资助项目(51277066) （51277066）
