6533b851fe1ef96bd12a97bd

RESEARCH PRODUCT

Time-Frequency Filtering for Seismic Waves Clustering

Antonino D'alessandoDario LuzioMarcello ChiodiAntonio BalzanellaGiada Adelfio

subject

SeismometerInformation Systems and ManagementBasis (linear algebra)Computer sciencebusiness.industryComputationEarthquakes clusteringCentroidWaveforms clusteringComputer Science Applications1707 Computer Vision and Pattern RecognitionPattern recognitionInformation SystemSeismic noiseTime-frequency filteringwaveforms clustering earthquakes clustering time-frequency filteringSeismic wavePhysics::GeophysicsComputingMethodologies_PATTERNRECOGNITIONWaveformArtificial intelligenceSettore SECS-S/01 - StatisticaCluster analysisbusinessAnalysis

description

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.

yearjournalcountryeditionlanguage
2014-01-01
https://doi.org/10.1007/978-3-319-06692-9_1