基于经验模态分解和独立成分分析去噪的特点, 提出了一种联合独立成分分析和经验模态分解的混沌信号降噪方法. 利用经验模态分解对混沌信号进行分解, 根据平移不变经验模态分解的思想构造多维输入向量, 通过所构造的多维输入向量和独立成分分析对混沌信号的各层内蕴模态函数进行自适应去噪处理-Based on empirical mode decomposition and independent component analysis denoising characteristics, we propose a joint independent component analysis and empirical mode decomposition chaotic noise reduction method using the empirical mode decomposition of chaotic signal decomposition, according to the experience of translation invariance ENID ideological construct multi-dimensional input vector, constructed through the multidimensional input vector and independent component analysis of chaotic signals intrinsic mode function layers adaptive denoising