---

Original Paper

Information Reduction for Chaotic Patterns

Yoshiki Hidaka¹*, Kosuke Ijigawa¹, Seung-Yong Kwak¹, Noriko Oikawa², Hirotaka Okabe¹ and Kazuhiro Hara¹

¹Department of Applied Quantum Physics and Nuclear Engineering, Faculty of Engineering, Kyushu University, Fukuoka 819-0395, Japan
²Department of Physics, Graduate School of Science and Engineering, Tokyo Metropolitan University, Tokyo 192-0397, Japan
*E-mail address: hidaka@ap.kyushu-u.ac.jp

(Received May 18, 2017; Accepted October 25, 2017)

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.

Keywords: Spatiotemporal Chaos, Image Analysis, Information Reduction