… channel coding (JSCC) schemes for the transmission of discretetime analog sources over
noisy channels based on deep … We show that these deep learning-based JSCC schemes …

… To achieve near-capacity performance, advanced channel coding … codes, have been
suggested for 5G systems [4], [5]. These channel codes protect the data streams against channel …

… in deep learning (DL) techniques for the channel coding … In this paper, we focus exclusively
on the channel coding … DL techniques into code design and channel decoding. After briefly …

… Inspired by the recent success of deep learning … deep JSCC architecture that exploits the
channel output feedback, called DeepJSCC-f, outperforms any separate source channel coding …

… Abstract—We present a deep learning based joint source channel coding (JSCC) scheme
… machine learning approach eliminates the need for separate source and channel coding …

… deep learning techniques for joint source-channel code design that outperform the concatenation
of state-of-the-art compression and channel coding … an adaptive deep learning based …

… Abstract—We consider the problem of recovering channel code parameters … deep
learning-based solution that I) is capable of identifying the channel code parameters for several …

… joint source channel coding (JSCC) for wireless image transmission over multipath fading
channels. Inspired by recent works on deep learning based JSCC and model-based learning …

… Inspired by the success of unsupervised deep learning (DL) methods, in particular, the
autoencoder architectures [4], [5], we design an end-to-end communication system, where the …

… an illustration of channel). Designing codes for this channel via deep learning approaches
is … While several works in the past years apply deep learning for channel coding, very few of …