【作者单位】1school of Electrical and Information Engineering, Tianjin University, Tianjin, China 2Department of Electrical Engineering, Columbia University, New York, NY, USA 3Electrical and Computer Engineering, New York University, New York, NY, USA 4Department of Electrical Engineering, Wright State University, Dayton, OH, USA 5Department of Electrical Engineering, Tibet University, Lhasa, China
【年份】2022
【卷号】PP No.99
【页码】1
【ISSN】2332-7731
【关键词】Decoding Codes Iterative decoding Deep learning Neural networks Complexity theory Bit error rate
【摘要】 The success of deep learning has encouraged its applications in decoding error-correcting codes, e.g., LDPC decoding. In this paper, we propose a model-driven deep learning method for normalized min-sum low-density parity-check decoding, namely neu...
