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	Blind separation of convolutive mixtures using oblique projections
	Peng Chunyi ; Zhu Xiaolong ; Zhang Xianda
	2010-05-06 ; 2010-05-06
关键词	Practical/ blind source separation convolution independent component analysis/ oblique projections convolutive mixtures subspace-type algorithm linear blind separation algorithm independent component analysis oblique projection/ B6140 Signal processing and detection B0240Z Other topics in statistics C5260 Digital signal processing C1140Z Other topics in statistics
中文摘要	A subspace-type algorithm is developed for the blind separation of convolutive mixtures. The model includes three data matrices labeled as "the past", "the present", and "the future" to reformulate the convolutive mixing model into a static model via oblique projections. A linear blind separation algorithm is then used to reconstruct the original sources. The algorithm makes full use of the structure information inherent in the problem to obtain a deterministic solution to the first stage, which reduces the computational costs. Computer simulations validate the algorithm's effectiveness.
语种	中文 ; 中文
出版者	Tsinghua Univ. Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/9300]
专题	清华大学
推荐引用方式 GB/T 7714	Peng Chunyi,Zhu Xiaolong,Zhang Xianda. Blind separation of convolutive mixtures using oblique projections[J],2010, 2010.
APA	Peng Chunyi,Zhu Xiaolong,&Zhang Xianda.(2010).Blind separation of convolutive mixtures using oblique projections..
MLA	Peng Chunyi,et al."Blind separation of convolutive mixtures using oblique projections".(2010).

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