… leads to the development of joint source-channel coding (JSCC). JSCC can greatly improve
… Recently, end-to-end optimized neural or deep learningbased JSCC (deep JSCC) for data …

… novel joint sourcechannel coding (JSCC) approach for channel-… image transmission with
deep joint source-channel coding,” … Goldsmith, “Deep learning for joint sourcechannel coding of …

… Next, we present the benefits of deep learning in spectrum situation awareness ranging from
channel … For example, the separation of source and channel coding (at the physical layer) …

… driven deep learning (DL) approach to jointly design the pilot signals and channel estimator
… Specifically, we design an end-to-end deep neural network (DNN) architecture composed of …

… Our proposed approach utilizes channel coding to generate meta-training from each
decoded block. In particular, we use the fact that forward error correction (FEC) codes can …

… Future work could focus on perceptual score indices and metrics, and further investigating
the joint source and channel coding. Additionally, it is worth exploring semantic video coding …

… in the KF encoding channel. For the NKF encoding channel, the reference intraframes of an
… In this study, a novel deep learning and gradient SR method was incorporated into a video …

… Proposed Channel Mapping with Deep Learning In this section, we propose to leverage
the interesting … The dataset and code files of this paper are available at [17], [18]. …

… In this paper, we adopt the deep reinforcement learning (DRL) for the PR to learn the …
phase, ST-k senses the channel and determines whether to access the channel or not. If the …

… We consider deep learning as a remedy, however the high dimensional signals are a
challenge. This is because the higher the signal dimension is, the larger the number of necessary …