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独立分量分析在混叠通信信号分离中的应用 被引量:9

Application of independent component analysis on overlapped communication signal separation
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摘要 本文采用FASTICA算法,实现对混叠通信信号的盲分离。仿真结果表明,本算法具有分离效果好,收敛速度快,无需动态参数的特点,基本实现了对混叠通信信号的实时盲分离。 This paper presents a new method of independent component analysis to realize the blind separation of overlapped communication signals.Simulation results indicate that the proposed algorithm can achieve better performance such as fast convergence,it doesn't need any dynamic parameter and so on.It can implement the real-time blind separation of overlapped communication signal.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2006年第z1期664-665,共2页 Chinese Journal of Scientific Instrument
关键词 混叠通信信号 盲源分离 独立分量分析 overlapped communication signal blind source separation independent component analysis
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参考文献5

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  • 2[2]Hyvarinen A.Independent Component Analysis:Algorithms and Applications[J].Neural Networks,2000,13:411-430.
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