MAP segmentation of time-frequency Renyi entropy - Application in seismic signals processing

ISSN: 1877-6124 (Online)
ISSN: 2210-6863 (Print)


Volume 4, 2 Issues, 2014


Download PDF Flyer




Recent Patents on Signal Processing

Aims & ScopeAbstracted/Indexed in


Submit Abstracts Online Submit Manuscripts Online

Editor-in-Chief:
Zeev Zalevsky
School of Engineering
Bar-Ilan University
Ramat-gan
Israel


View Full Editorial Board

Subscribe Purchase Articles Order Reprints


MAP segmentation of time-frequency Renyi entropy - Application in seismic signals processing

Author(s): Esam A. Obiedat and Lei Cao


Abstract

Reliable seismic waves characterization is essential for better understanding wave propagation phenomena, providing new physical insight into soil properties. Many works in this area have been based on detecting special patterns or clusters in seismic data, event detection using parametric models, and time-frequency analysis. In this paper we present an approach making use of the short-term time-frequency R´enyi entropy and maximum a posteriori probability (MAP) estimator, operating on R´enyi entropy, as a new space of decision; this method enables more robust feature extraction and a more accurate classification. This approach was used in simulation and in the analysis of the earthquake records during the Kocaeli, Arcelik seism, Turkey, August 1999, a strong to moderate ground motion.

87.57.nm, 43.60.Hj, 89.70.Cf, 02.50.-r, 91.30.-f.


Keywords: Signal segmentation, maximum a posteriori probability, time-frequency, Rényi entropy, seismic signals

Purchase Online Rights and Permissions

  
  



Article Details

Volume: 3
First Page: 1
Last Page: 10
Page Count: 10
DOI: 10.2174/22106863113039990002
Advertisement

Related Journals




Webmaster Contact: urooj@benthamscience.org Copyright © 2014 Bentham Science