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Identification of low-frequency earthquakes in non-volcanic tremor using the subspace detector method

机译：利用子空间检测器方法识别非火山震颤中的低频地震

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Shelly et al. identified 188 low frequency earthquakes (LFEs) in a one-hour episode of tremor recorded at Japanese Hi-Net borehole stations. Later they proposed that nonvolcanic tremor may consist entirely of a sequence of LFEs. We search for additional LFEs using the subspace detector technique. This method uses a matrix of template waveforms and, via singular value decomposition, builds a set of basis vectors that, in some linear combination, can reproduce the templates or similar events that fall within the subspace. We explore the utility of the method to search for additional LFEs within the subspace spanned by our basis vectors. The results compare well with previous LFE detections. We also compare our results with an independent measure of signal polarization and find that the polarization takes on a distinct character during times of known LFEs. This suggests that signal polarization may also have potential for tremor detection, characterization, and monitoring.
机译：雪莉等。在日本Hi-Net钻孔站记录的一小时地震中，发现了188次低频地震（LFE）。后来，他们提出非火山性震颤可能完全由一系列LFE组成。我们使用子空间检测器技术搜索其他LFE。此方法使用模板波形矩阵，并通过奇异值分解构建一组基础向量，这些基础向量以某种线性组合可以重现属于子空间的模板或类似事件。我们探索该方法的效用，以在我们的基向量跨越的子空间内搜索其他LFE。结果与以前的LFE检测结果比较。我们还将我们的结果与信号极化的独立度量进行比较，发现在已知的LFE期间，极化呈现出不同的特征。这表明信号极化也可能具有震颤检测，表征和监测的潜力。

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