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摘要:
Blind source separation is a signal processing method based on independent component analysis, its aim is to separate the source signals from a set of observations (output of sensors) by assuming the source signals independently. This paper reviews the general concept of BSS firstly;especially the theory for convolutive mixtures, the model of convolutive mixture and two deconvolution structures, then adopts a BSS algorithm for convolutive mixtures based on residual cross-talking error threshold control criteria, the simulation testing points out good performance for simulated mixtures.
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篇名 Research on Blind Source Separation for Machine Vibrations
来源期刊 无线传感网络(英文) 学科 工学
关键词 BLIND Source Separation INDEPENDENT Component Analysis Convolutive MIXTURES MACHINE Vibration RESIDUAL Cross-Talking Error
年,卷(期) 2009,(5) 所属期刊栏目
研究方向 页码范围 453-457
页数 5页 分类号 TN91
字数 语种
DOI
五维指标
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研究主题发展历程
节点文献
BLIND
Source
Separation
INDEPENDENT
Component
Analysis
Convolutive
MIXTURES
MACHINE
Vibration
RESIDUAL
Cross-Talking
Error
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
无线传感网络(英文)
月刊
1945-3078
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
358
总下载数(次)
0
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