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Abstract:
独立分量分析(Independent Component Analysis,ICA)是近年来发展起来的一种有效的盲源分离技术(Blind Source Separation,BSS).本文介绍了独立分量分析的基本理论,用基于最大熵原理的对负熵的估计方法得出了ICA的目标函数,并介绍了基于负熵极大的FastICA算法.MATLAB仿真试验表明:该算法可以较好地分离混合声音信号,具有良好的稳定性,收敛速度较快.
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Source :
中北大学学报(自然科学版)
ISSN: 1673-3193
Year: 2005
Issue: 6
Volume: 26
Page: 396-399
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count: 26
Chinese Cited Count:
30 Days PV: 7
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