FORMA
Online ISSN : 2189-1311
Print ISSN : 0911-6036
Original Paper
Information Reduction for Chaotic Patterns
Yoshiki HidakaKosuke IjigawaSeung-Yong KwakNoriko OikawaHirotaka OkabeKazuhiro Hara
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JOURNAL FREE ACCESS

2018 Volume 33 Issue 2 Pages S3-S7

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Abstract

To investigate the universality and diversity of spatiotemporal chaos, information reduction, which describes phenomena using generalized quantities such as amplitude and phase, is an important technique. Several methods of image analysis are presented for information reduction of experimental image data of spatiotemporal chaos.

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© 2018 Society for Science on Form, Japan
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