111 citations · 254 across the 13 of their papers we have counts for
3 papers · 2 filters
DemodNet: Learning Soft Demodulation from Hard Information Using Convolutional Neural Network
Shilian Zheng, Xiaoyu Zhou, Shichuan Chen +2
Soft demodulation is a basic module of traditional communication receivers. It converts received symbols into soft bits, that is, log likelihood ratios (LLRs). However, in the noni…
SigNet: A Novel Deep Learning Framework for Radio Signal Classification
Zhuangzhi Chen, Hui Cui, Jingyang Xiang +6
Deep learning methods achieve great success in many areas due to their powerful feature extraction capabilities and end-to-end training mechanism, and recently they are also introd…
DeepReceiver: A Deep Learning-Based Intelligent Receiver for Wireless Communications in the Physical Layer
Shilian Zheng, Shichuan Chen, Xiaoniu Yang
A canonical wireless communication system consists of a transmitter and a receiver. The information bit stream is transmitted after coding, modulation, and pulse shaping. Due to th…