Recurrent modeling and processing of signals based on Gibbs model

Recurrent modeling and processing of signals based on Gibbs model

An application of Gibbs distribution to stochastic sequences description and interpolation estimating is considered. The opportunity of sequences generation and Bayes processing procedures recurrent realization is established on the basis of induced potentials preliminary calculation. Examples are g...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Vasyukov, V.N., Spector, A.A.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Character generation
Interpolation
Joining processes
Markov processes
Physics
Probability distribution
Random variables
Relaxation methods
Signal processing
Stochastic processes
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Beschreibung
Zusammenfassung:An application of Gibbs distribution to stochastic sequences description and interpolation estimating is considered. The opportunity of sequences generation and Bayes processing procedures recurrent realization is established on the basis of induced potentials preliminary calculation. Examples are given.
DOI:10.1109/APEIE.1998.768955