Event Recognition Using Signal Spectrograms in Long Pulse Experiments

Gonzalez, J.; Ruiz González, Mariano; Vega, Jesús; Barrera Lopez de Turiso, Eduardo; Arcas Castro, Guillermo de y López Navarro, Juan Manuel (2010). Event Recognition Using Signal Spectrograms in Long Pulse Experiments. "Review of Scientific Instruments", v. 81 (n. 10); pp.. ISSN 0034-6748. https://doi.org/10.1063/1.3494273.

Descripción

Título: Event Recognition Using Signal Spectrograms in Long Pulse Experiments
Autor/es:
  • Gonzalez, J.
  • Ruiz González, Mariano
  • Vega, Jesús
  • Barrera Lopez de Turiso, Eduardo
  • Arcas Castro, Guillermo de
  • López Navarro, Juan Manuel
Tipo de Documento: Artículo
Título de Revista/Publicación: Review of Scientific Instruments
Fecha: Octubre 2010
Volumen: 81
Materias:
Escuela: E.U.I.T. Telecomunicación (UPM) [antigua denominación]
Departamento: Sistemas Electrónicos y de Control [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

As discharge duration increases, real-time complex analysis of the signal becomes more important. In this context, data acquisition and processing systems must provide models for designing experiments which use event oriented plasma control. One example of advanced data analysis is signal classification. The off-line statistical analysis of a large number of discharges provides information to develop algorithms for the determination of the plasma parameters from measurements of magnetohydrodinamic waves, for example, to detect density fluctuations induced by the Alfvén cascades using morphological patterns. The need to apply different algorithms to the signals and to address different processing algorithms using the previous results necessitates the use of an event-based experiment. The Intelligent Test and Measurement System platform is an example of architecture designed to implement distributed data acquisition and real-time processing systems. The processing algorithm sequence is modeled using an event-based paradigm. The adaptive capacity of this model is based on the logic defined by the use of state machines in SCXML. The Intelligent Test and Measurement System platform mixes a local multiprocessing model with a distributed deployment of services based on Jini.

Más información

ID de Registro: 7289
Identificador DC: http://oa.upm.es/7289/
Identificador OAI: oai:oa.upm.es:7289
Identificador DOI: 10.1063/1.3494273
URL Oficial: http://ieeexplore.ieee.org
Depositado por: Memoria Investigacion
Depositado el: 14 Mar 2013 11:00
Ultima Modificación: 20 Abr 2016 16:27
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