Abstract: To address the issues of poor fault tolerance and high computational complexity in traditional matrix analysis methods for identifying the code length and synchronization of linear block ...
With the broadening applications of deep learning, neural decoders have emerged as a key research focus, specifically aimed at improving the decoding performanc ...