Extraction and selection of geoelectrical data features

  • Authors:
  • Apostolos Ifantis;Vasilis Nikolaidis

  • Affiliations:
  • Technological Educational Institute of Patras;Technological Educational Institute of Kalamata

  • Venue:
  • DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
  • Year:
  • 2009

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Abstract

Extraction and selection of proper signal characteristics is a significant step affecting the success of any subsequent data analysis. We describe a process used to extract features from a 6-year, single-channel Long Term Geoelectric Potential difference (LTGP) signal, recorded in 1998-2003 at Western Greece. Features are extracted from consecutive segments of the signal, and evaluated to identify those possibly correlated with the seismic activity of the region. Evaluation is aided by pattern recognition techniques, and uses information from all seismic events of medium or larger magnitude occurring in the region. Initial results indicate that the approach may help reveal signal features whose properties deserve further investigation.