… In this work, we first conduct story generation experiments on … However, as we can see from
the Eq. 3, not every paragraph ends … In this work, we choose the top-p sampling decoding …

… , such as channel modeling, channel decoding and signal … First, we capture and store a
large amount of true channel … Herein, we explore another example of a deep learning based …

… receiver including neural network equalizer and decoder [31] … Polar decoding on sparse
graphs with deep learning. In: … early termination schemes for belief-propagation decoding of …

… deep neural network named Audio-Visual sequence-to-sequence dual network (AVSDN). By
jointly … t , turn to be the initial states in our decoder. Because compared with vanilla LSTM, a …

… Initial results on deep learning for joint channel equalization and decoding[C] / / 2017 IEEE
86t Vehicular Technology Conference (VTC). Torontoꎬ Ontarioꎬ Canada: IEEE Pressꎬ 2017…

… Initial results on deep learning for joint channel equalization and decoding[C]//Proceedings
of 2017 IEEE 86th Vehicular Technology Conference. Piscataway: IEEE Press, 2017: 1-5. …

… learning is an important component of machine learning, and … time slice, and update with
a learning rate 琢ie Eq. (16) and … Transmit power optimization for full duplex decode鄄and鄄…

… a turbo equalizer, a joint iterative equalization and decoding … interpolation scheme to channel
equalization and precoding. … We first consider the interpolation filter design for a single tail …

… In the first part of the thesis, we study the application of turbo equalization technique in
MIMO-OFDM systems. Using this approach, we can combine demapping and decoding in an …

… of developing novel deep learning-based techniques for … a popular deep neural network
are proposed for the first time … feature maps from the encoder-decoder stages [93], in the …