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Multivector Reduced-Set Matching Pursuit (MRMP): A Low-Complexity Approach for Joint Sparse Recovery with Virtual Data Synthesis

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Τίτλος: Multivector Reduced-Set Matching Pursuit (MRMP): A Low-Complexity Approach for Joint Sparse Recovery with Virtual Data Synthesis
Συγγραφείς: Benzater, Hadj Abdelkader, Teguig, Djamal, Zeraoula, Hamza, Lassami, Nacerredine
Πηγή: 2025 33rd European Signal Processing Conference (EUSIPCO) European Signal Processing Conference (EUSIPCO), 2025 33rd. :2732-2736 Sep, 2025
Relation: 2025 33rd European Signal Processing Conference (EUSIPCO)
Βάση Δεδομένων: IEEE Xplore Digital Library
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PubType: Conference
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  Data: Multivector Reduced-Set Matching Pursuit (MRMP): A Low-Complexity Approach for Joint Sparse Recovery with Virtual Data Synthesis
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  Data: 2025 33rd European Signal Processing Conference (EUSIPCO) European Signal Processing Conference (EUSIPCO), 2025 33rd. :2732-2736 Sep, 2025
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RecordInfo BibRecord:
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        Value: 10.23919/EUSIPCO63237.2025.11226247
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        PageCount: 5
        StartPage: 2732
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      – TitleFull: Multivector Reduced-Set Matching Pursuit (MRMP): A Low-Complexity Approach for Joint Sparse Recovery with Virtual Data Synthesis
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            NameFull: Benzater, Hadj Abdelkader
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            NameFull: Teguig, Djamal
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            NameFull: Zeraoula, Hamza
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            NameFull: Lassami, Nacerredine
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              M: 09
              Type: published
              Y: 2025
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            – TitleFull: 2025 33rd European Signal Processing Conference (EUSIPCO), European Signal Processing Conference (EUSIPCO), 2025 33rd
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