| 引用本文: | 王跃科,林嘉宇,黄芝平.混沌信号处理.Chaotic Signals Processing[J].国防科技大学学报,2000,22(5):73-77.[点击复制] |
| WANG Yueke,LIN Jiayu,HUANG Zhiping.Chaotic Signals Processing[J].Journal of National University of Defense Technology,2000,22(5):73-77[点击复制] |
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| 混沌信号处理 |
| 王跃科1, 林嘉宇2, 黄芝平1 |
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(1.国防科技大学 机电工程与自动化学院, 湖南 长沙 410073;2.国防科技大学 电子科学与工程学院, 湖南 长沙 410073)
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| 摘要: |
| 描述了混沌特征参量, 包括 Lyapunov 指数和分形维; 讨论了信号相空间重构和 Takens 嵌入定理, 以及嵌入维数、时间延迟等参数。还阐述应用神经网络进行混沌信号非线性处理。 |
| 关键词: 混沌 Lyapunov 指数 分形维 相空间重构 神经网络 |
| DOI： |
| 投稿日期：2000-03-06 |
| 基金项目:湖南省自然科学基金项目资助 |
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| Chaotic Signals Processing |
| WANG Yueke1, LIN Jiayu2, HUANG Zhiping1 |
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(1.College of Mechatronics Engineering and Automation,National Univ. of Defense Technology, Changsha 410073, China;2.College of Electronic Science and Engineering, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| This paper presents the nonlinear analysis and processing of signals based on chaos aspects. Chaotic invariants are described, including Lyapunov exponents and fractal dimensions. The problems of applying Takens' Embedding Theorem to phase space reconstruction are discussed, including those of embedding dimension and time delay. Then RBF neural network used in nonlinear processing of chaotic signals is presented. |
| Keywords: chaos Lyapunov exponent fractal dimension phase space reconstruction neural network |
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