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首页> 外文期刊>Circuits, systems, and signal processing >New Procedure for Change Detection Operating on R,nyi Entropy with Application in Seismic Signals Processing
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New Procedure for Change Detection Operating on R,nyi Entropy with Application in Seismic Signals Processing

机译：基于R，nyi熵的变化检测新方法及其在地震信号处理中的应用

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摘要

Reliable characterization of different signals is essential for better understanding of their generating and propagation phenomena. Many works in this area have been based on detecting special patterns or clusters in data, and event detection using parametric models. In this paper, we present an approach making use of the short-term time-frequency R,nyi entropy and an algorithm to discriminate between the model parameter and noise variance changes, operating on R,nyi entropy, as a new space of decision. This method enables a simpler analysis and interpretation of signals behavior. The experimental results obtained by Monte Carlo simulations for a multi-component synthetic signal, embedded in additive white Gaussian noise of different levels, proved the effectiveness of the procedure. Also, the procedure is used, with good results, in the analysis of a seismic signal with two components, during a strong to moderate ground motion. Finally, a comparison of the obtained results with those offered by other change detection approaches is presented.
机译：对不同信号进行可靠的表征对于更好地理解其产生和传播现象至关重要。该领域的许多工作都基于检测数据中的特殊模式或聚类，以及使用参数模型进行事件检测。在本文中，我们提出一种利用短期时频R，nyi熵的方法和一种区分模型参数和噪声方差变化的算法，该算法基于R，nyi熵进行运算，作为新的决策空间。此方法使信号行为的分析和解释更加简单。通过蒙特卡罗模拟获得的多分量合成信号的实验结果嵌入了不同级别的加性高斯白噪声中，证明了该方法的有效性。此外，在强到中等的地震动过程中，该程序还用于分析具有两个分量的地震信号，效果很好。最后，将获得的结果与其他变化检测方法提供的结果进行比较。

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