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1 Ergebnisse
1
Performance Analysis of Normality Test Loss for Intelligent..:
, In:
2022 IEEE/CIC International Conference on Communications in China (ICCC)
,
Xia, Junyu
;
Chen, Jianyuan
;
Wang, Zixuan
... - p. 748-753 , 2022
Link:
https://doi.org/10.1109/ICCC55456.2022.9880755
RT T1 <cTitle>2022 IEEE/CIC International Conference on Communications in China (ICCC)</cTitle>: T1 <Title>Performance Analysis of Normality Test Loss for Intelligent RSCNN Denoiser Design With Application to Channel Decoding</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9880755&Exemplar=1&LAN=DE A1 Xia, Junyu A1 Chen, Jianyuan A1 Wang, Zixuan A1 Yang, Xiaoling A1 Wu, Xiucheng A1 Zhang, Lin A1 Wu, Zhiqiang YR 2022 K1 Deep learning K1 Simulation K1 Noise reduction K1 Neural networks K1 Information processing K1 Signal processing K1 Propagation losses K1 Loss function K1 normality test K1 residual shrinkage K1 belief propagation based decoding K1 noise suppression SP 748 OP 753 LK http://dx.doi.org/https://doi.org/10.1109/ICCC55456.2022.9880755 DO https://doi.org/10.1109/ICCC55456.2022.9880755 SF ELIB - SuUB Bremen
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