| 脑电时间序列的非线性重构 |
| |
| 引用本文： | 朱家富,何为.脑电时间序列的非线性重构[J].西南师范大学学报(自然科学版),2008,33(6). |
| |
| 作者姓名： | 朱家富 何为 |
| |
| 作者单位： | 1. 重庆大学,电气工程学院,重庆,400030;重庆文理学院,电子电气工程学院,重庆,永川,402160
2. 重庆大学,电气工程学院,重庆,400030 |
| |
| 基金项目： | 重庆市教委资助项目，重庆文理学院研究项目 |
| |
| 摘 要： | 脑电信号的非线性特征量的提取以其非线性重构为基础，对脑电信号的进行非线性重构的关键是正确选择重构参数时间延迟和嵌入维数．确定重构参数的方法很多，并各有其优缺点．C—C方法是一种可以同时确定最佳时间延迟和最佳嵌入维数的新方法，以Lorenz模型数据和脑电时间序列为计算对象，对这种方法进行了验证与比较．
|
| 关 键 词： | 相空间重构 时间延迟 嵌入维数 脑电信号 Lorenz模型 |
The Nonlinear Reconstruction of EEG Signal |
| |
| ZHU Jia-fu,HE Wei.The Nonlinear Reconstruction of EEG Signal[J].Journal of Southwest China Normal University(Natural Science),2008,33(6). |
| |
| Authors: | ZHU Jia-fu HE Wei |
| |
| Institution: | ZHU Jia-fu1,2,HE Wei11.College of Electrical Engineering,Chongqing University,Chongqing 400030,China,2.School of Electronic , Electrical Engineering,Chongqing University of Arts , Sciences,Yongchuan Chongqing,402160 |
| |
| Abstract: | For EEG time series,gaining the nonlinear characteristic parameters are based on the reconstruction of the time series,and it is the key to determine the best delay time and the best embedding dimension for the time series reconstruction.There are many restrictive methods to determine the reconstruction parameters.In this paper,the C-C algorithm is introduced which can determine the best delay time and the best embedding dimension synchronously,and the method is validated and compared according to calculati... |
| |
| Keywords: | phase-space reconstruction time delay embedding dimension EEG signal Lorenz model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《西南师范大学学报(自然科学版)》浏览原始摘要信息 |
| 点击此处可从《西南师范大学学报(自然科学版)》下载免费的PDF全文 |
|
