Network-based characterization of time series and its application to signal classification

Time series analysis in complex systems can help us to peep into the inner structure and operation law of the system so as to make relevant decisions. In this paper, we propose a binary symbolic pattern state transfer network for measuring the complexity of series. First, we capture the spatio-tempo...

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Veröffentlicht in:	Chaos, solitons and fractals Jg. 201; S. 117300
Hauptverfasser:	Mi, Yujia, Lin, Aijing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2025
Schlagworte:	Horizontal visibility graph Phase space reconstruction Signal recognition and classification Time series complexity Horizontal visibility graph Signal recognition and classification Time series complexity Phase space reconstruction
ISSN:	0960-0779
Online-Zugang:	Volltext
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