Article: Blind separation of electron paramagnetic resonance signals using diversity minimization

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TitleBlind separation of electron paramagnetic resonance signals using diversity minimization
AuthorsGuo, X1 2
Chang, C1
Lam, EY1
KeywordsBlind source separation
Diversity measures
Electron Paramagnetic Resonance spectroscopy
Non-negative sources
Issue Date2010
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/yjmre
CitationJournal Of Magnetic Resonance, 2010, v. 204 n. 1, p. 26-36 [How to Cite?]
DOI: http://dx.doi.org/10.1016/j.jmr.2010.01.014
AbstractThis paper presents a method for the blind separation of Electron Paramagnetic Resonance (EPR) spectroscopy signals that can aid in the detection of free radicals in living organisms. Observed EPR signals are often mixtures of source signals that are approximately "sparse", with a small number of narrow segments of the signal much larger than the remaining parts. We develop a method to separate the sources through minimizing a p-norm-like diversity measure under some mild assumptions which are generally valid for EPR signals. Simulations demonstrate that the proposed method performs well on EPR signal separation, with better robustness to noise compared to other techniques. © 2010 Elsevier Inc. All rights reserved.
ISSN1090-7807
2011 Impact Factor: 2.138
2011 SCImago Journal Rankings: 0.229
DOIhttp://dx.doi.org/10.1016/j.jmr.2010.01.014
ISI Accession Number IDWOS:000276785300004
ReferencesReferences in Scopus
DC Field
Value
dc.contributor.authorGuo, X
dc.contributor.authorChang, C
dc.contributor.authorLam, EY
dc.date.accessioned2010-10-31T10:51:18Z
dc.date.available2010-10-31T10:51:18Z
dc.date.issued2010
dc.description.abstractThis paper presents a method for the blind separation of Electron Paramagnetic Resonance (EPR) spectroscopy signals that can aid in the detection of free radicals in living organisms. Observed EPR signals are often mixtures of source signals that are approximately "sparse", with a small number of narrow segments of the signal much larger than the remaining parts. We develop a method to separate the sources through minimizing a p-norm-like diversity measure under some mild assumptions which are generally valid for EPR signals. Simulations demonstrate that the proposed method performs well on EPR signal separation, with better robustness to noise compared to other techniques. © 2010 Elsevier Inc. All rights reserved.
dc.description.natureLink_to_subscribed_fulltext
dc.identifier.citationJournal Of Magnetic Resonance, 2010, v. 204 n. 1, p. 26-36 [How to Cite?]
DOI: http://dx.doi.org/10.1016/j.jmr.2010.01.014
dc.identifier.citeulike6862340
dc.identifier.doihttp://dx.doi.org/10.1016/j.jmr.2010.01.014
dc.identifier.epage36
dc.identifier.hkuros171687
dc.identifier.isiWOS:000276785300004
dc.identifier.issn1090-7807
2011 Impact Factor: 2.138
2011 SCImago Journal Rankings: 0.229
dc.identifier.issue1
dc.identifier.openurl
dc.identifier.pmid20194039
dc.identifier.scopuseid_2-s2.0-77950189509
dc.identifier.spage26
dc.identifier.urihttp://hdl.handle.net/10722/124738
dc.identifier.volume204
dc.languageeng
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/yjmre
dc.publisher.placeUnited States
dc.relation.ispartofJournal of Magnetic Resonance
dc.relation.referencesReferences in Scopus
dc.subject.meshBiopolymers - analysis - chemistry
dc.subject.meshComplex Mixtures - analysis - chemistry
dc.subject.meshComputer Simulation
dc.subject.meshElectron Spin Resonance Spectroscopy - methods
dc.subject.meshFree Radicals - analysis - chemistry
dc.subject.meshModels, Chemical
dc.subjectBlind source separation
dc.subjectDiversity measures
dc.subjectElectron Paramagnetic Resonance spectroscopy
dc.subjectNon-negative sources
dc.titleBlind separation of electron paramagnetic resonance signals using diversity minimization
dc.typeArticle
Author Affiliations
  1. The University of Hong Kong
  2. University of Electronic Science and Technology of China