Electromagnetic Radiation Signals of Coal or Rock Denoising Based on Morphological Filter
The electromagnetic radiation (EMR) signal captured by coal or rock dynamic disaster monitoring system can be disturbed easily by electromagnetic noise in mine. The noise has serious effects on the recognition and analysis of disaster features. However, wavelets and other filter method are complex, and lead to poor real-time performance. In order to solve these problems, an EMR signal morphological filter is proposed. The EMR filter algorithm employs only addition, subtraction and comparison operations, does not adopt multiplication or division operations, and it is easy to be implemented by the hardware of monitoring system. The simulation and experimental results show that the method can restrain the random noise which distributed uniformly and white Gaussian noise mixed in EMR signal effectively. The filter is highly important for improving reliability and real-time performance of the coal or rock dynamic disaster monitoring system.
Coal or rock dynamic disaster electromagnetic radiation denoising morphological filter
CHEN Shi-hai WANG En-yuan
School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, X
国际会议
The First International Symposium on Mine Safety Science and Engineering (首届矿山安全科学与工程学术会议)
北京
英文
11-17
2011-10-27（万方平台首次上网日期，不代表论文的发表时间）