… low, we estimate the channel by deep low-SNR network, and beyond a threshold, deep
high-SNR … Juang, “Power of deep learning for channel estimation and signal detection in OFDM …

… This paper proposes a deep learning based channel code recognition algorithm that
extracts features automatically and avoids complicated calculation. Three convolutional …

… -uniform pilot design scheme for deep learning based channel estimation in OFDM systems.
First, the proposed scheme uses a concrete autoencoder to find the most informative pilots …

… on the code. If the input is sparse on certain basis and the dimension of the code is sufficient
… signal y is obtained as the code and the channel estimator can be regarded as the decoder. …

… Without considering channel coding, we train a DNN at the receiver under the framework
of supervised learning to perform the task. The set of labeled training signals can either be …

… In order to achieve successful recovery at semantic level, we design semantic and channel
coding jointly in order to keep the meaning between ˆs and s unchanged, which is enabled …

… 3.3 The Proposed Learning Framework Our proposed deep learning framework is to conduct
online CSI … Each image is composed of pixels that are represented by a series of code. A …

… learning based polar decoder, we proposed a deep learning … , we show that the proposed
deep neural network (DNN) based … to support more types of channel coding, a minimum size of …

… Since the separate-channel coding employs two separate networks for luma and chroma
channels, it nearly doubles the number of parameters (ie, about 14 million) over all other …

… Abstract—Joint source-channel coding (JSCC) has achieved great success due to the
introduction of deep learning (DL). Compared to traditional separate source-channel coding (…