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本文简要介绍了盲信号分离的基本思想及基于负熵极大的FastICA算法,并将其用于煤岩声波信号的独立成分分析,实验结果表明了算法应用的有效性。
This paper briefly introduces the basic idea of blind signal separation and FastICA algorithm based on negative entropy, and applies it to the independent component analysis of coal rock acoustic signals. The experimental results show the effectiveness of the algorithm.