Two methods are presented for the computation of the Kolmogorov entropy from a time series with a direct approach (i.e. by computing the probabilities of occurrence of various box sequences). Performance of both methods on a single i860 processor is compared and an implementation of the second one on a multi-i860 distributed memory system is shown.

Computing the Kolmogorov entropy from a time series: Vector and parallel implementations

A Corana;
1994

Abstract

Two methods are presented for the computation of the Kolmogorov entropy from a time series with a direct approach (i.e. by computing the probabilities of occurrence of various box sequences). Performance of both methods on a single i860 processor is compared and an implementation of the second one on a multi-i860 distributed memory system is shown.
1994
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
0 444 81841 3
nonlinear time series analysis; Kolmogorov entropy; direct approach; INTEL i860 processor; multi-i860 distributed memory system; performance evaluation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/315059
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