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Published in:
2014 | OriginalPaper | Chapter
Time-Frequency Filtering for Seismic Waves Clustering
Authors : Antonio Balzanella, Giada Adelfio, Marcello Chiodi, Antonino D’Alessandro, Dario Luzio
Published in: Analysis and Modeling of Complex Data in Behavioral and Social Sciences
Publisher: Springer International Publishing
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Abstract
This paper introduces a new technique for clustering seismic events based on processing, in time-frequency domain, the waveforms recorded by seismographs. The detection of clusters of waveforms is performed by a k-means like algorithm which analyzes, at each iteration, the time-frequency content of the signals in order to optimally remove the non discriminant components which should compromise the grouping of waveforms. This step is followed by the allocation and by the computation of the cluster centroids on the basis of the filtered signals. The effectiveness of the method is shown on a real dataset of seismic waveforms.