Caracterización de señales sísmicas utilizando modelos paramétricos y transformada cepstrum

This work proposes a methodology for the extraction of features from seismic signals that allows to identify different types of volcanic earthquakes that have been studied in the Volcanological and Seismological Observatory of Manizales (OVSM).This process is made through a joint representation on t...

Full description

Bibliographic Details
Main Author: Hernán H. Agudelo-López
Format: Article
Language:English
Published: Instituto Tecnológico Metropolitano 2008-12-01
Series:TecnoLógicas
Subjects:
Online Access:http://itmojs.itm.edu.co/index.php/tecnologicas/article/view/284
id doaj-e9d21266c69d49e7ae5e3ecbef95babb
record_format Article
spelling doaj-e9d21266c69d49e7ae5e3ecbef95babb2020-11-25T01:46:35ZengInstituto Tecnológico MetropolitanoTecnoLógicas0123-77992256-53372008-12-010214966252Caracterización de señales sísmicas utilizando modelos paramétricos y transformada cepstrumHernán H. Agudelo-López0Estudiante de Ingeniería Electrónica. Pertenece al Grupo de Investigación y Desarrollo en Comunicaciones y Hardware Reconfigurable de la Universidad Tecnológica de Pereira. PereiraThis work proposes a methodology for the extraction of features from seismic signals that allows to identify different types of volcanic earthquakes that have been studied in the Volcanological and Seismological Observatory of Manizales (OVSM).This process is made through a joint representation on time and frequency known as adjustment surface. Autoregressive parametric models (AR, ARMA) and the cepstrum transform are compared on the identification of random processes. Different criteria for the selection of the parametric models order are used and the effect of some normalization methods over the characteristicsis studied. Recognition rates of 99.8% between two kinds of volcanic signals are obtained.http://itmojs.itm.edu.co/index.php/tecnologicas/article/view/284Superficie de ajustemodelos paramétricostransformada cepstrum.
collection DOAJ
language English
format Article
sources DOAJ
author Hernán H. Agudelo-López
spellingShingle Hernán H. Agudelo-López
Caracterización de señales sísmicas utilizando modelos paramétricos y transformada cepstrum
TecnoLógicas
Superficie de ajuste
modelos paramétricos
transformada cepstrum.
author_facet Hernán H. Agudelo-López
author_sort Hernán H. Agudelo-López
title Caracterización de señales sísmicas utilizando modelos paramétricos y transformada cepstrum
title_short Caracterización de señales sísmicas utilizando modelos paramétricos y transformada cepstrum
title_full Caracterización de señales sísmicas utilizando modelos paramétricos y transformada cepstrum
title_fullStr Caracterización de señales sísmicas utilizando modelos paramétricos y transformada cepstrum
title_full_unstemmed Caracterización de señales sísmicas utilizando modelos paramétricos y transformada cepstrum
title_sort caracterización de señales sísmicas utilizando modelos paramétricos y transformada cepstrum
publisher Instituto Tecnológico Metropolitano
series TecnoLógicas
issn 0123-7799
2256-5337
publishDate 2008-12-01
description This work proposes a methodology for the extraction of features from seismic signals that allows to identify different types of volcanic earthquakes that have been studied in the Volcanological and Seismological Observatory of Manizales (OVSM).This process is made through a joint representation on time and frequency known as adjustment surface. Autoregressive parametric models (AR, ARMA) and the cepstrum transform are compared on the identification of random processes. Different criteria for the selection of the parametric models order are used and the effect of some normalization methods over the characteristicsis studied. Recognition rates of 99.8% between two kinds of volcanic signals are obtained.
topic Superficie de ajuste
modelos paramétricos
transformada cepstrum.
url http://itmojs.itm.edu.co/index.php/tecnologicas/article/view/284
work_keys_str_mv AT hernanhagudelolopez caracterizaciondesenalessismicasutilizandomodelosparametricosytransformadacepstrum
_version_ 1725018586823524352