no code implementations • 4 May 2021 • Songyan Xue, Yi Ma, Na Yi
In this paper, a novel end-to-end learning approach, namely JTRD-Net, is proposed for uplink multiuser single-input multiple-output (MU-SIMO) joint transmitter and non-coherent receiver design (JTRD) in fading channels.
no code implementations • 1 Jan 2021 • Chuyuan Xiong, Deyuan Zhang, Tao Liu, Xiaoyong Du, Jiankun Tian, Songyan Xue
In this paper, a baseline evaluation framework is proposed for voice-face matching and retrieval tasks.
no code implementations • 14 Apr 2020 • Songyan Xue, Yi Ma, Na Yi, Rahim Tafazolli
Otherwise, it is called non-systematic waveform, where no artificial design is involved.
no code implementations • 1 Apr 2020 • Songyan Xue, Yi Ma, Na Yi, Terence E. Dodgson
Motivated by this finding, we propose a novel modular neural network based approach, termed MNNet, where the whole network is formed by a set of pre-defined ANN modules.