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Low‐Complexity Neural Network Architecture for High‐Accuracy Wideband Power Amplifier Modeling and Digital Predistortion Linearization.

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Title: Low‐Complexity Neural Network Architecture for High‐Accuracy Wideband Power Amplifier Modeling and Digital Predistortion Linearization.
Authors: Rezgui, Haithem1 (AUTHOR) haithem.rezgui@supcom.tn, Salem, Amine Ben1 (AUTHOR), Barrak, Rim1 (AUTHOR), Ghazel, Adel2 (AUTHOR)
Source: International Journal of Circuit Theory & Applications. Apr2026, p1. 11p. 9 Illustrations.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 193275605
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Low‐Complexity Neural Network Architecture for High‐Accuracy Wideband Power Amplifier Modeling and Digital Predistortion Linearization.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Circuit+Theory+%26+Applications%22">International Journal of Circuit Theory & Applications</searchLink>. Apr2026, p1. 11p. 9 Illustrations.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=193275605
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1002/cta.70448
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 11
        StartPage: 1
    Titles:
      – TitleFull: Low‐Complexity Neural Network Architecture for High‐Accuracy Wideband Power Amplifier Modeling and Digital Predistortion Linearization.
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            NameFull: Rezgui, Haithem
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            NameFull: Salem, Amine Ben
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            NameFull: Barrak, Rim
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            NameFull: Ghazel, Adel
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            – D: 28
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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              Value: 00989886
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            – TitleFull: International Journal of Circuit Theory & Applications
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