混沌系统隐含频率检测方法研究及其在海洋资料分析中的应用

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基金项目: 国家自然科学基金资助项目(49476254);上海市博士后基金资助项目.

Application of detecting hidden frequencies method in chaotic system to analysis ocean data

1.
College of Power Engineering, Shanghai University of Science and Technology, Shanghai 20093, China
2.
College of Ocean Environment, Ocean University of Qingdao, Qingdao 266003, China

摘要: 利用Guillermo的单时间序列重构相空间点概率密度的功率谱分析方法,对赤道日表层水温和青岛月气温的九点滑动平均资料进行了隐含频率检测,结果表明,赤道日表层水温隐含周期为23.3,10.5,7.7d,其他物理参量的震荡及青岛气温隐含周期10.,5.7,4.5,2.9a,3个月其他物理参量的震荡.
- 相空间 /
- 嵌入维数 /
- 概率密度
Abstract: The equator day SST time series(ESST) and the nine points moving average month air temperature data of Qingdao(NMAMAT) are detected using the frequencies spectrum and the probability density of points in recon structed phase space.The results show that the hidden periods of other physical variables in ESST system and NMAMAT system are 23.3,10.5,7.7 d and 10.6,5.7,4.5,2.9 a,3 months,respectively.The physical variables of these hidden periods are guessed by experience in knowledge of these systems.
- phase space /
- embedding dimension /
- probability density

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