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The Wasserstein-Fourier Distance for Stationary Time Series.

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Title: The Wasserstein-Fourier Distance for Stationary Time Series.
Authors: Cazelles, Elsa1, elsa.cazelles@gmail.com, Robert, Arnaud2, arnaudrobert.ge@gmail.com, Tobar, Felipe3, ftobar@dim.uchile.cl
Source: IEEE Transactions on Signal Processing; 2021, Vol. 69, p709-721, 13p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 148948601
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="AU" term="%22Cazelles%2C+Elsa%22">Cazelles, Elsa</searchLink><relatesTo>1</relatesTo>, <i>elsa.cazelles@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Robert%2C+Arnaud%22">Robert, Arnaud</searchLink><relatesTo>2</relatesTo>, <i>arnaudrobert.ge@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Tobar%2C+Felipe%22">Tobar, Felipe</searchLink><relatesTo>3</relatesTo>, <i>ftobar@dim.uchile.cl</i>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=148948601
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1109/TSP.2020.3046227
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 709
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      – TitleFull: The Wasserstein-Fourier Distance for Stationary Time Series.
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            NameFull: Cazelles, Elsa
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            NameFull: Robert, Arnaud
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            NameFull: Tobar, Felipe
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              Text: 2021
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              Value: 69
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            – TitleFull: IEEE Transactions on Signal Processing
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