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Article: Blind extraction of short-sampled signal based on time structure

TitleBlind extraction of short-sampled signal based on time structure
Authors
KeywordsBlind Extraction
Negentropy
Newton-Like Iterative Method
Short-Sampled
Time Structure
Issue Date2012
Publisher中國電子學會. The Journal's web site is located at http://dzxu.chinajournal.net.cn/
Citation
Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2012, v. 40 n. 3, p. 472-476 How to Cite?
AbstractTo enhance the quality of the restored signal extracted from short-sampled paths, this paper proposed a novel blind extraction method based on time structure. By replacing negentropy with the sum of autocorrelation statistically obtained at multiple delays as the objective function, and introducing the closeness between output signal and reference signal as well as output's variance as the constraints of non-linear programming, besides incorporating the Newton-like iterative method, a novel iterative expression was successfully deduced to extract one-path signal. In addition, a novel criterion to evaluate the short samples is presented. Simulation showed that, whatever the length of observed multiple signals is, as long as the short-duration component is contained, the proposed method can extract the useful signal in high quality.
Persistent Identifierhttp://hdl.handle.net/10722/170202
ISSN
2015 SCImago Journal Rankings: 0.331
References

 

DC FieldValueLanguage
dc.contributor.authorHuang, XDen_US
dc.contributor.authorHu, Yen_US
dc.contributor.authorLiu, HTen_US
dc.date.accessioned2012-10-30T06:06:09Z-
dc.date.available2012-10-30T06:06:09Z-
dc.date.issued2012en_US
dc.identifier.citationTien Tzu Hsueh Pao/Acta Electronica Sinica, 2012, v. 40 n. 3, p. 472-476en_US
dc.identifier.issn0372-2112en_US
dc.identifier.urihttp://hdl.handle.net/10722/170202-
dc.description.abstractTo enhance the quality of the restored signal extracted from short-sampled paths, this paper proposed a novel blind extraction method based on time structure. By replacing negentropy with the sum of autocorrelation statistically obtained at multiple delays as the objective function, and introducing the closeness between output signal and reference signal as well as output's variance as the constraints of non-linear programming, besides incorporating the Newton-like iterative method, a novel iterative expression was successfully deduced to extract one-path signal. In addition, a novel criterion to evaluate the short samples is presented. Simulation showed that, whatever the length of observed multiple signals is, as long as the short-duration component is contained, the proposed method can extract the useful signal in high quality.en_US
dc.languageengen_US
dc.publisher中國電子學會. The Journal's web site is located at http://dzxu.chinajournal.net.cn/en_US
dc.relation.ispartofTien Tzu Hsueh Pao/Acta Electronica Sinicaen_US
dc.subjectBlind Extractionen_US
dc.subjectNegentropyen_US
dc.subjectNewton-Like Iterative Methoden_US
dc.subjectShort-Sampleden_US
dc.subjectTime Structureen_US
dc.titleBlind extraction of short-sampled signal based on time structureen_US
dc.typeArticleen_US
dc.identifier.emailHu, Y:yhud@hku.hken_US
dc.identifier.authorityHu, Y=rp00432en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.3969/j.issn.0372-2112.2012.03.010en_US
dc.identifier.scopuseid_2-s2.0-84861929970en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84861929970&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume40en_US
dc.identifier.issue3en_US
dc.identifier.spage472en_US
dc.identifier.epage476en_US
dc.publisher.placeChinaen_US
dc.identifier.scopusauthoridHuang, XD=14052253400en_US
dc.identifier.scopusauthoridHu, Y=7407116091en_US
dc.identifier.scopusauthoridLiu, HT=35976455700en_US

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