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利用小波分析研究同步。

Using wavelet analysis to investigate synchronization.

机构信息

Department of Physics, Indian Institute of Technology Madras, Chennai 600036, India.

Department of Physical Sciences, Indian Institute of Science, Bengaluru 560012, India.

出版信息

Phys Rev E. 2019 Aug;100(2-1):022218. doi: 10.1103/PhysRevE.100.022218.

Abstract

Wavelet analysis is shown to be a more robust technique than previously used methods in the investigation of synchronization. The highlight of the technique is that it encompasses most of the information obtained by conventional methods into a single picture, while giving a deeper insight into the dynamics of the system. Order parameters derived from continuous wavelet transform coefficients are proposed, which can be used in the quantification of measure synchronization in Hamiltonian systems and identical synchronization in dissipative systems, irrespective of the nature of coupling, the nature of synchronization (complete or partial, quasiperiodic or chaotic), and the number of coupled subsystems.

摘要

小波分析在研究同步方面比以前使用的方法更稳健。该技术的一个突出特点是,它将传统方法获得的大部分信息整合到一个单一的图像中,同时更深入地了解系统的动态。本文提出了从连续小波变换系数中导出的序参量,这些序参量可用于量化哈密顿系统中的测度同步和耗散系统中的一致同步,而与耦合的性质、同步的性质(完全或部分、准周期或混沌)以及耦合子系统的数量无关。

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