… joint source and channel coding of structured data such as natural language over a noisy
channel… performing source coding to first compress the text and then channel coding to add …

… neural networks with interleavers and de-interleavers in between). By allowing joint training
of the channel coding … -MOD performs comparable to modern codes stacked with canonical …

… 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 …

… the compression and channel coding stages. Using machine learning techniques, we …
can be learned from scratch, thus using joint source-channel coding (JSCC) rather than the …

… 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 …

… Our results show that the proposed deep JSCC scheme … channel code at low signal-tonoise
ratio (SNR) and channel … However, we believe that by using a deeper neural network …

… joint sourcechannel coding (JSCC) schemes for the transmission of discretetime analog
sources over noisy channels based on deep neural networks… AWGN) channels, the encoder and …

… machine learning techniques can provide an alternative approach to the long-standing joint
source-channel coding … utilize separate source and channel codes, have been demonstrated …

… We jointly train deep neural networks with explicit … deep neural networks with additional
non-trainable blocks such as PAPR reduction signal-clipping, channel estimation and channel …

… We present a deep learning based joint source channel coding (JSCC) … channels with
non-linear signal clipping. The proposed encoder and decoder use convolutional neural networks …