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Author:

申丽岩 (申丽岩.) | 方滨 (方滨.) | 沈毅 (沈毅.)

Indexed by:

CQVIP

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.

Keyword:

负熵 独立分量分析 盲源分离

Author Community:

  • [ 1 ] [申丽岩]北京工业大学
  • [ 2 ] [方滨]教育部数字社区工程研究中心
  • [ 3 ] [沈毅]首都医科大学附属北京友谊医院

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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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