Detection of weak transitions in signal dynamics using recurrence time statistics

J. B. Gao; Yinhe Cao; Lingyun Gu; J. G. Harris; J. C. Principe

doi:10.1016/j.physleta.2003.08.018

Detection of weak transitions in signal dynamics using recurrence time statistics

J. B. Gao
, Yinhe Cao
, Lingyun Gu
, J. G. Harris
, J. C. Principe

University of Florida

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	64-72
Number of pages	9
Journal	Physics Letters, Section A: General, Atomic and Solid State Physics
Volume	317
Issue number	1-2
DOIs	https://doi.org/10.1016/j.physleta.2003.08.018
State	Published - Oct 13 2003
Externally published	Yes

ASJC Scopus Subject Areas

General Physics and Astronomy

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10.1016/j.physleta.2003.08.018

Cite this

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title = "Detection of weak transitions in signal dynamics using recurrence time statistics",

author = "Gao, \{J. B.\} and Yinhe Cao and Lingyun Gu and Harris, \{J. G.\} and Principe, \{J. C.\}",

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journal = "Physics Letters, Section A: General, Atomic and Solid State Physics",

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AU - Gao, J. B.

AU - Cao, Yinhe

AU - Gu, Lingyun

AU - Harris, J. G.

AU - Principe, J. C.

PY - 2003/10/13

Y1 - 2003/10/13

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VL - 317

SP - 64

EP - 72

JO - Physics Letters, Section A: General, Atomic and Solid State Physics

JF - Physics Letters, Section A: General, Atomic and Solid State Physics

IS - 1-2

ER -

Detection of weak transitions in signal dynamics using recurrence time statistics

ASJC Scopus Subject Areas

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