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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
The chaotic feature parameters are described, including the Lyapunov exponent and fractal dimension. The signal phase space reconstruction and Takens embedding theorem are discussed, as well as parameters such as embedding dimension and time delay. It also describes the application of neural network nonlinear chaotic signal processing