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Parametric Approximation to Optimal Averaging in Superimpos..:
, In:
2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
,
Muntane, Ignasi Pique
;
Garcia, M. Julia Fernandez-Getino
- p. 738-743 , 2022
Link:
https://doi.org/10.1109/CSNDSP54353.2022.9907996
RT T1 <cTitle>2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)</cTitle>: T1 <Title>Parametric Approximation to Optimal Averaging in Superimposed Training Schemes under Realistic Time-Variant Channels</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9907996&Exemplar=1&LAN=DE A1 Muntane, Ignasi Pique A1 Garcia, M. Julia Fernandez-Getino YR 2022 K1 Training K1 OFDM K1 Computational modeling K1 Linear regression K1 Symbols K1 Mathematical models K1 Complexity theory K1 Superimposed Training K1 Time-Variant Channel K1 Channel Estimation K1 Least Squares K1 Averaging K1 Multiple Linear Regression SP 738 OP 743 LK http://dx.doi.org/https://doi.org/10.1109/CSNDSP54353.2022.9907996 DO https://doi.org/10.1109/CSNDSP54353.2022.9907996 SF ELIB - SuUB Bremen
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