Advanced signal processing algorithms for recognition of seismic-volcanic signals
From 01 / 01 / 2013 to 31 / 12 / 2015
This project aims to study and develop advanced signal processing algorithms with the goal of implementing an automatic, real-time seismic-volcanic signal recognition and characterization system.
A possible direct application would be the implementation of an early warning system.
APASVO is a multidisciplinary project, and this is reflected in the composition of the research team, which is comprised of specialists in signal processing, geophysics, and volcanology.
— Isaac Álvarez Ruiz
— Ángel de la Torre Vega
— José Carlos Segura Luna
— Antonio José Rubio Ayuso
— Sonia Mota Fernández
Responsible
Sonia Mota Fernández
Goal
Preparation of correctly labeled databases.
Responsible
María del Carmen Benítez Ortúzar
Goal
Improvement of automatic recognition systems for seismic-volcanic events by studying possible parametric representations of the seismic signal.
Responsible
José Carlos Segura Luna
Goal
Development of techniques for the automatic detection and classification of seismic data from volcano monitoring and the design of new implementation architectures for recognition systems.
Responsible
Ángel de la Torre Vega
Goal
Development of automatic earthquake detection techniques (tectonic, volcano-tectonic, or artificial) at low magnitudes and accurate estimation of seismic wave arrivals.
Responsible
Ángel de la Torre Vega
Goal
Characterization of the events recognized by the automatic recognition system to deepen our understanding of the processes associated with the source that generated them.
Responsible
María del Carmen Benítez Ortúzar
Goal
Implementation of a prototype early warning system and development of corresponding documentation on its use and features.
Responsible
María del Carmen Benítez Ortúzar
Goal
Coordination of all phases of the project for its proper execution.
If you’d like to learn more about GEOASPAI, feel free to click the link below: