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Signal Segmentation in Time-Frequency Plane Using Renyi Entropy – Application in Seismic Signal Processing

Domenii publicaţii > Stiinte ingineresti + Tipuri publicaţii > Articol în volumul unei conferinţe

Autori: Th. D. Popescu, D. Aiordachioaie

Editorial: IEEE Press, Proc. of The 2-nd IEEE International Conference on Control and Fault-Tolerant Systems (SysTol13), Nice, France, October 9-11, 2013, 1, p.312-317, 2013.

Rezumat:

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 a new approach making use of the short-term time-frequency Renyi entropy and maximum a posteriori probability (MAP) estimator, operating on time-frequency Renyi 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.

Cuvinte cheie: Signal segmentation, maximum a posteriori probability, time-frequency analysis, Renyi entropy, seismic signals