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Description: 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
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基于独立成分分析和经验模态分解的混沌信号降噪.pdf
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