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Frequency Estimation using Spectral Techniques with the Support of a Deep Learning Method.

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Bibliographic Details
Title: Frequency Estimation using Spectral Techniques with the Support of a Deep Learning Method.
Authors: TUFISI, Cristian1, cristian.tufisi@ubbcluj.ro, MINDA, Andrea Amalia1, andrea.minda@ubbcluj.ro, BURTEA, Daniela-Giorgiana2, daniela.burtea@stud.ubbcluj.ro, GILLICH, Gilbert-Rainer1, gilbert.gillich@ubbcluj.ro
Source: Romanian Journal of Acoustics & Vibration; 2022, Vol. 19 Issue 1, p49-55, 7p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 162453745
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Frequency Estimation using Spectral Techniques with the Support of a Deep Learning Method.
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  Data: <searchLink fieldCode="JN" term="%22Romanian+Journal+of+Acoustics+%26+Vibration%22">Romanian Journal of Acoustics & Vibration</searchLink>; 2022, Vol. 19 Issue 1, p49-55, 7p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=162453745
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 7
        StartPage: 49
    Titles:
      – TitleFull: Frequency Estimation using Spectral Techniques with the Support of a Deep Learning Method.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: TUFISI, Cristian
      – PersonEntity:
          Name:
            NameFull: MINDA, Andrea Amalia
      – PersonEntity:
          Name:
            NameFull: BURTEA, Daniela-Giorgiana
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            NameFull: GILLICH, Gilbert-Rainer
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          Dates:
            – D: 01
              M: 01
              Text: 2022
              Type: published
              Y: 2022
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            – Type: issn-print
              Value: 15847284
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            – Type: volume
              Value: 19
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Romanian Journal of Acoustics & Vibration
              Type: main
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