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A SCBSS methodology for time-frequency overlapped signals using non-negative matrix factorisation

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成果类型:
期刊论文
作者:
Pang, Lihui*;Deng, Xianrong
通讯作者:
Pang, Lihui
作者机构:
[Pang, Lihui] Univ South China, Sch Elect Engn, Hengyang 421001, Hunan, Peoples R China.
[Deng, Xianrong] MStar Semicond Inc, Shenzhen, Guangdong, Peoples R China.
通讯机构:
[Pang, Lihui] U
Univ South China, Sch Elect Engn, Hengyang 421001, Hunan, Peoples R China.
语种:
英文
关键词:
SCBSS;NMF;time-frequency overlapped;electromagnetic surveillance;dynamical embedding frame
期刊:
International Journal of Electronics
ISSN:
0020-7217
年:
2017
卷:
104
期:
4
页码:
624-634
基金类别:
Scientific Research Foundation of University of South China [2015XQD05]; Hunan Provincical Department of Education [2016SJY57]
机构署名:
本校为第一且通讯机构
院系归属:
电气工程学院
摘要:
This article presents a new methodology for single-channel blind signal separation (SCBSS) of time-frequency overlapped signals in electromagnetic surveillance domain. The proposed algorithm is based on non-negative matrix factorisation (NMF) through a dynamical embedding framework. This method is deterministic requiring no priori information of the original signals. Firstly, a series of delay vectors of the single-channel recording are selected to construct an appropriate dynamical embedding matrix. NMF algorithm is used to decompose the dynamical embedding matrix. Then, a convenient expansio...

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