【作者单位】1School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China 2School of Information Science and Technology, Tibet University, Lhasa, China 3Department of Electrical Engineering, Tibet University, Lhasa, China 4China and Wright State University, Dayton, United States
【年份】2022
【页码】1
【关键词】Decoding Noise reduction Data preprocessing Convolutional neural networks Signal to noise ratio Feature extraction Fading channels
【摘要】 The noise existent in practical systems degrades reliability performances, especially when delivering data over fast fading channels with the correlated noise. To address this issue, we propose a residual convolutional neural network aided denoiser ...
