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

Recent works have shown that modern machine learning techniques can provide an
alternative approach to the long-standing joint source-channel coding (JSCC) problem. Very …

We present a deep learning based joint source channel coding (JSCC) scheme for wireless
image transmission over multipath fading channels with non-linear signal clip**. The …

In this paper, we propose a novel joint source-channel coding (JSCC) approach for channel-
adaptive digital semantic communications. In semantic communication systems with digital …

Joint source and channel coding (JSCC) for image transmission has attracted increasing
attention due to its robustness and high efficiency. However, the existing deep JSCC …

Semantic communication (SemComm) has emerged as new paradigm shifts. Most existing
SemComm systems transmit continuously distributed signals in analog fashion. However …

This paper considers the problem of lossy neural image compression (NIC). Current state-of-
the-art (SOTA) methods adopt uniform posterior to approximate quantization noise, and …

Joint source and channel coding (JSCC) has attracted increasing attention in semantic
communications. However, JSCC is vulnerable to privacy issues due to the high relevance …

Joint source-channel coding (JSCC) for image transmission has attracted increasing
attention due to its robustness and high efficiency. However, the existing research mainly …

Synthetic DNA has received much attention recently as a long-term archival medium
alternative due to its high density and durability characteristics. However, most current work …