首页> 外文会议>Shanghai international symposium on nonlinear science amp; application >Lyapunov Spectrum Analysis for Chaotic Transition Phenomenon

【24h】

Lyapunov Spectrum Analysis for Chaotic Transition Phenomenon

机译：混沌跃迁现象的李雅普诺夫频谱分析

获取原文

获取原文并翻译 | 示例

页面导航

著录项
相似文献
相关主题

著录项

来源
《Shanghai international symposium on nonlinear science amp; application》|2003年|118-119|共2页
会议地点 Shanghai(CN);Shanghai(CN)
作者

展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词

相似文献

外文文献
中文文献
专利

1. Lyapunov spectrum analysis for a chaotic transition phenomenon [J] . Sameshima T., Fukushima K., Shibata H., EPL . 2003,第1期

机译：混沌跃迁现象的李雅普诺夫频谱分析
2. Chaotic Analysis: Chaotic Spectrum Analysis with Applications to Chaotic Communications and Chaotic Time Series Analysis [J] . Ken UMENO, 梅野健電子情報通信学会技術研究報告. 非線形問題. Nonlinear Problems . 2006,第414期

机译：混沌分析：混沌频谱分析及其在混沌通信中的应用和混沌时间序列分析
3. Determining the Spectrum of the Nonlinear Local Lyapunov Exponents in a Multidimensional Chaotic System [J] . Ruiqiang DING, Jianping LI, Baosheng LI 大气科学进展（英文版） . 2017,第009期

机译：确定多维混沌系统中非线性局部Lyapunov指数的谱
4. Lyapunov Spectrum Analysis for ChaoticTransition Phenomenon [C] . Tomoko Sameshima, Kazuhiro Fukushima, Hiroshi Shibata, Shanghai international symposium on nonlinear science amp; application . 2003

机译：混沌跃迁现象的李雅普诺夫频谱分析
5. An analysis of transition to chaos and chaotic synchronization. [D] . He, Rong. 1994

机译：过渡到混沌和混沌同步的分析。
6. Spectrum of Mesenchymal–Epithelial Transition Aberrations and Potential Clinical Implications: Insights From Integrative Pancancer Analysis [O] . Juanni Li, Kuan Hu, Lei Zhou, 2020

机译：间充质 - 上皮过渡像差和潜在临床意义的光谱：综合康乃伊分析的见解
7. EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed TarekShahriar Abstract—An EMD-chaos based approach is proposed todiscriminate EEG signals corresponding to healthy persons,and epileptic patients during seizure-free intervals and seizureattacks. An electroencephalogram (EEG) is first empiricallydecomposed to intrinsic mode functions (IMFs). The nonlineardynamics of these IMFs are quantified in terms of the largestLyapunov exponent (LLE) and correlation dimension (CD).This chaotic analysis in EMD domain is applied to a large groupof EEG signals corresponding to healthy persons as well asepileptic patients (both with and without seizure attacks). It isshown that the values of the obtained LLE and CD exhibitfeatures by which EEG for seizure attacks can be clearlydistinguished from other EEG signals in the EMD domain.Thus, the proposed approach may aid researchers in developingeffective techniques to predict seizure activities. Index Terms—Electroencephalogram (EEG), empiricalmode decomposition (EMD), largest Lyapunov exponent (LLE),correlation dimension (CD), epileptic seizures. The Authors are with the Electrical and Electronic EngineeringDepartment, Bangladesh University of Engineering and Technology,Dhaka-1000, Bangladesh (e-mail: imamul@eee.buet.ac.bd) PDF Cite: S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed Tarek Shahriar, "EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 326-330, 2012. PREVIOUS PAPER Perception of Emotions Using Constructive Learningthrough Speech NEXT PAPER Physical Layer Impairments Aware OVPN Connection Selection Mechanisms Copyright © 2008-2013. International Association of Computer Science and Information Technology Press (IACSIT Press) [O] . S. M. Shafiul Alam, Syed TarekShahriar 2012

机译：EEG信号在EMD域S. S. Shafiul Alam，S中的非线性动力学使用非线性动力学。 M. Shafiul Alam，Aurangozeb和Syed Tarekshahriar摘要 - 基于EMD Chaos的方法，提出了对应于健康人的EEG信号，癫痫发作期间的癫痫患者和Seizureattacks。脑电图（EEG）首先被凭经上分解为内在模式功能（IMF）。这些IMF的非线性动力学在最大范围的指数（LLE）和相关尺寸（CD）方面是量化的。本域中的混沌分析应用于与健康人相对应的大型脑电图（Asepileptic患者）（两者都有癫痫发作）。因此，所获得的LLE和CD表展的价值可以从EMD领域的其他EEG信号中清晰地区分脑电图的表达展示。本拟议的方法可以帮助研究人员以预测癫痫发作的癫痫发作技术。索引术语 - 脑电图（EEG），仿真态分解（EMD），最大的Lyapunov指数（LLE），相关维度（CD），癫痫发作。作者与电气电子和电子工程公司，孟加拉国工程和技术大学，孟加拉国达卡 - 1000（电子邮件：imamul@eee.buet.ac.bd）pdf cite：s. m. shafiul Alam，s。 M. Shafiul Alam，Aurangozeb和Syed Tarek Shahriar，“EEG信号歧视在EMD领域的非线性动态，”计算机电气工程卷国际杂志。 4，不。 3，pp。326-330,2012，上一篇论文对情绪的看法，使用建设性的学习言论下一篇论文物理层障碍意识到OVPN连接选择机制版权所有©2008-2013。国际计算机科学与信息技术协会出版社（IACSIT Press）

获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

客服微信
服务号