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dc.contributor.authorLaleg-Kirati, Taous-Meriem
dc.contributor.authorCrépeau, Emmanuelle
dc.contributor.authorSorine, Michel
dc.date.accessioned2016-01-19T14:44:37Z
dc.date.available2016-01-19T14:44:37Z
dc.date.issued2012-09-30
dc.identifier.citationLaleg-Kirati T-M, Crépeau E, Sorine M (2012) Semi-classical signal analysis. Mathematics of Control, Signals, and Systems 25: 37–61. Available: http://dx.doi.org/10.1007/s00498-012-0091-1.
dc.identifier.issn0932-4194
dc.identifier.issn1435-568X
dc.identifier.doi10.1007/s00498-012-0091-1
dc.identifier.urihttp://hdl.handle.net/10754/594261
dc.description.abstractThis study introduces a new signal analysis method, based on a semi-classical approach. The main idea in this method is to interpret a pulse-shaped signal as a potential of a Schrödinger operator and then to use the discrete spectrum of this operator for the analysis of the signal. We present some numerical examples and the first results obtained with this method on the analysis of arterial blood pressure waveforms. © 2012 Springer-Verlag London Limited.
dc.publisherSpringer Nature
dc.subjectArterial blood pressure
dc.subjectSchrödinger operator
dc.subjectSemi-classical
dc.subjectSignal analysis
dc.titleSemi-classical signal analysis
dc.typeArticle
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalMathematics of Control, Signals, and Systems
dc.contributor.institutionVersailles Saint Quentin en Yvelines University Bât Fermat, 78035 Versailles Cedex, France
dc.contributor.institutionCentre Paris, Rocquencourt, INRIA, Domaine de Voluceau BP 105, 78153 Le Chesnay Cedex, France
dc.identifier.arxividarXiv:1007.0938
kaust.personLaleg-Kirati, Taous-Meriem
dc.date.published-online2012-09-30
dc.date.published-print2013-03


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