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1 Ergebnisse
1
Impact of Quantization Noise on CNN-based Joint Source-Chan..:
, In:
2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)
,
Matsumoto, Keigo
;
Inoue, Yoshiaki
;
Hara-Azumi, Yuko
... - p. 465-468 , 2023
Link:
https://doi.org/10.1109/CCNC51644.2023.10060488
RT T1 <cTitle>2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)</cTitle>: T1 <Title>Impact of Quantization Noise on CNN-based Joint Source-Channel Coding and Modulation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10060488&Exemplar=1&LAN=DE A1 Matsumoto, Keigo A1 Inoue, Yoshiaki A1 Hara-Azumi, Yuko A1 Maruta, Kazuki A1 Nakayama, Yu A1 Hisano, Daisuke YR 2023 SN 2331-9860 K1 Training K1 Image quality K1 Quantization (signal) K1 Image coding K1 PSNR K1 Image communication K1 Symbols K1 deep learning K1 image coding K1 Joint source-channel coding K1 quantization SP 465 OP 468 LK http://dx.doi.org/https://doi.org/10.1109/CCNC51644.2023.10060488 DO https://doi.org/10.1109/CCNC51644.2023.10060488 SF ELIB - SuUB Bremen
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