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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

Electromagnetic Radiation Signals of Coal or Rock Denoising Based on Morphological Filter