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| 淹没在噪声中的混沌信号最大李雅普诺夫指数的提取 | |
| 引用本文： | 袁坚 光先赐. 淹没在噪声中的混沌信号最大李雅普诺夫指数的提取[J]. 电子学报, 1997, 25(10): 102-106 |
| 作者姓名： | 袁坚 光先赐 |
| 作者单位： | 电子科技大学 |
| 摘 要： | 基于对低信噪比下状态空间重构问题的研究，并结合重构信号强度（ＲＳＳ）方法分析重构窗口，得到了明显改善信噪比的重构状态空间， 低信噪比下，利用改进后的最大李雅普诺夫指数的算法有效地估计Ｌｏｒｅｎｚ等模型的最大李雅普诺夫指数，这种方法可能成为识别淹没在噪声中的混珠有效途径。 |
| 关 键 词： | 混沌 李雅普诺夫指数 信噪比 信号分析 |
Extracting the Laraest Lyapunov Exponents from the Chaotic Signals Overwhelmed in the Noise |
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| Yuan Jian,Xiao Xianci. Extracting the Laraest Lyapunov Exponents from the Chaotic Signals Overwhelmed in the Noise[J]. Acta Electronica Sinica, 1997, 25(10): 102-106 | |
| Authors: | Yuan Jian Xiao Xianci |
| Abstract: | Based on the research of state space reconstruction at poor SNR and the analysis of reconstruction window using the method of reconstruction signal strength (RSS), state space reconstruction with improved SNR is derived. From this,the largest Lyapunov exponents of Lorenz and Rossler attractor are estimatedeffectively at poor SNR by use of a improved algorthm of the largest Lyapunov exponent. This method may become an effective approach to distinguish the chaotic signals overwhelmed in the noise. |
| Keywords: | Reconstruction Chaos Lyapunov exponent SNR |
| 本文献已被 CNKI 维普 等数据库收录！ | |