Event Recognition Using Signal Spectrograms in Long Pulse Experiments

Gonzalez, J. and Ruiz González, Mariano and Vega, Jesús and Barrera Lopez de Turiso, Eduardo and Arcas Castro, Guillermo de and 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.

Description

Title: Event Recognition Using Signal Spectrograms in Long Pulse Experiments
Author/s:
  • Gonzalez, J.
  • Ruiz González, Mariano
  • Vega, Jesús
  • Barrera Lopez de Turiso, Eduardo
  • Arcas Castro, Guillermo de
  • López Navarro, Juan Manuel
Item Type: Article
Título de Revista/Publicación: Review of Scientific Instruments
Date: October 2010
ISSN: 0034-6748
Volume: 81
Subjects:
Faculty: E.U.I.T. Telecomunicación (UPM)
Department: Sistemas Electrónicos y de Control [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 7289
DC Identifier: http://oa.upm.es/7289/
OAI Identifier: oai:oa.upm.es:7289
DOI: 10.1063/1.3494273
Official URL: http://ieeexplore.ieee.org
Deposited by: Memoria Investigacion
Deposited on: 14 Mar 2013 11:00
Last Modified: 20 Apr 2016 16:27
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