Pattern identification using lattice spin systems: A thermodynamic formalism

Shalabh Gupta, Asok Ray

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

The paper addresses data-driven statistical pattern identification in complex dynamical systems, where the concept is built upon thermodynamic formalism of symbolic data sequences in the setting of lattice spin systems. The transfer matrix approach has been used for generation of pattern vectors from time series data of observed parameters. Efficacy of pattern identification is demonstrated for early detection of anomalies (i.e., deviations from the nominal pattern) on an experimental apparatus of nonlinear active electronic circuits.

Original languageEnglish (US)
Article number194105
JournalApplied Physics Letters
Volume91
Issue number19
DOIs
StatePublished - Nov 19 2007

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formalism
thermodynamics
dynamical systems
anomalies
deviation
electronics

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy (miscellaneous)

Cite this

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abstract = "The paper addresses data-driven statistical pattern identification in complex dynamical systems, where the concept is built upon thermodynamic formalism of symbolic data sequences in the setting of lattice spin systems. The transfer matrix approach has been used for generation of pattern vectors from time series data of observed parameters. Efficacy of pattern identification is demonstrated for early detection of anomalies (i.e., deviations from the nominal pattern) on an experimental apparatus of nonlinear active electronic circuits.",
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Pattern identification using lattice spin systems : A thermodynamic formalism. / Gupta, Shalabh; Ray, Asok.

In: Applied Physics Letters, Vol. 91, No. 19, 194105, 19.11.2007.

Research output: Contribution to journalArticle

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