MAP Segmentation of Time-Frequency Rényi Entropy - Application in Seismic Signals Processing

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

Volume 5, 2 Issues, 2015

Download PDF Flyer

Recent Patents on Signal Processing

Aims & ScopeAbstracted/Indexed in

Submit Abstracts Online Submit Manuscripts Online

View Full Editorial Board

Subscribe Purchase Articles Order Reprints

MAP Segmentation of Time-Frequency Rényi Entropy - Application in Seismic Signals Processing

Recent Patents on Signal Processing, 4(1): 2-11.

Author(s): Theodor D Popescu.

Affiliation: Research Department, National Institute for Research and Development in Informatics, 8-10 Averescu Avenue, Bucharest 011455, Romania.


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 Rényi entropy and maximum a posteriori probability (MAP) estimator, operating on Rényi 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.


Maximum a posteriori probability, Rényi entropy, seismic signals, signal segmentation, time-frequency.

Download Free Order Reprints Order Eprints Rights and Permissions

Article Details

Volume: 4
Issue Number: 1
First Page: 2
Last Page: 11
Page Count: 10
DOI: 10.2174/22106863113039990002

Related Journals

Webmaster Contact: Copyright © 2015 Bentham Science