Original Paper
Information Reduction for Chaotic Patterns
2018 年 33 巻 2 号 p. S3-S7
詳細
2018 年 33 巻 2 号 p. S3-S7
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.
