Automatic Modulation Classification (AMC) is an approach to identify an observed signal's
most likely modulation scheme without any a priori knowledge of the intercepted signal. In …

Deep learning (DL) finds rich applications in the wireless domain to improve spectrum
awareness. Typically, DL models are either randomly initialized following a statistical …

Recently, automatic modulation classification techniques using convolutional neural
networks on raw IQ samples have been investigated and show promise when compared to …

Existing schemes for blind recognition of channel codes make use of the average log-
likelihood ratio (LLR) of each code's parity checks. There are difficulties in setting necessary …

Soft demodulation, or demapping, of received symbols back into their conveyed soft bits, or
bit log-likelihood ratios (LLRs), is at the very heart of any modern receiver. In this paper, a …

信道编码盲识别是非合作信号处理领域的重要内容, 将非合作信号处理技术从信号层扩展到了
信息层, 在智能通信, 信息截获, 信息对抗等领域具有重要作用. 本文首先对广泛应用于现代数字 …