Efficient neural network using pointwise convolution kernels with linear phase constraint.

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Title: Efficient neural network using pointwise convolution kernels with linear phase constraint.
Authors: Liang, Feng1, Tian, Zhichao1, Dong, Ming1, Cheng, Shuting1, Sun, Li1, Li, Hai2, Chen, Yiran2, Zhang, Guohe1, zhangguohe@xjtu.edu.cn
Source: Neurocomputing; Jan2021, Vol. 423, p572-579, 8p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 147521785
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Efficient neural network using pointwise convolution kernels with linear phase constraint.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=147521785
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.neucom.2020.10.067
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 8
        StartPage: 572
    Titles:
      – TitleFull: Efficient neural network using pointwise convolution kernels with linear phase constraint.
        Type: main
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          Name:
            NameFull: Liang, Feng
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            NameFull: Tian, Zhichao
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            NameFull: Dong, Ming
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            NameFull: Cheng, Shuting
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            NameFull: Sun, Li
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            NameFull: Li, Hai
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            NameFull: Chen, Yiran
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            NameFull: Zhang, Guohe
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          Dates:
            – D: 29
              M: 01
              Text: Jan2021
              Type: published
              Y: 2021
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              Value: 09252312
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              Value: 423
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            – TitleFull: Neurocomputing
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