Research on Blind Signal Extraction Based on Normalized Kurtosis
2014 ◽
Vol 989-994
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pp. 3609-3612
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Blind source extraction (BSE) is a promising technique to solve signal mixture problems while only one or a few source signals are desired. In biomedical applications, one often knows certain prior information about a desired source signal in advance. In this paper, we explore specific prior information as a constrained condition so as to develop a flexible BSE algorithm. One can extract a desired source signal while its normalized kurtosis range is known in advance. Computer simulations on biomedical signals confirm the validity of the proposed algorithm.
2013 ◽
Vol 756-759
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pp. 3845-3848
2003 ◽
pp. 177-229
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2004 ◽
Vol 15
(4)
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pp. 859-873
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Keyword(s):
2002 ◽
Vol 9
(8)
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pp. 233-236
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Keyword(s):
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