With the rapid growth of wireless communications systems, there is an increasing demand
for wireless multimedia. Wireless image and video transmission, an essential component of …

In this paper, we propose an iterative source error correction (ISEC) decoding scheme for
deep-learning-based joint source-channel coding (Deep JSCC). Given a noisy codeword …

In this paper, a new still image coding scheme is presented. In contrast with standard
tandem coding schemes, where the redundancy is introduced after source coding, it is …

We propose an adaptive lossy joint source-channel coding (JSCC) scheme for sending
correlated sources over two-terminal discrete-memoryless two-way channels (DM-TWCs) …

Recently, semantic and task-oriented communications with deep joint source and channel
coding (JSCC) have emerged as new paradigm shifts in 6G departing from the conventional …

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

In this paper, we propose a puncturing-based joint source channel coding scheme with a
hierarchical down-sampling layer (PJSCC). The proposed hierarchical down-sampling layer …

We introduce deep learning based communication methods for successive refinement of
images over wireless channels. We present three different strategies for progressive image …

As one novel approach to realize end-to-end wireless image semantic transmission, deep
learning-based joint source-channel coding (deep JSCC) method is emerging in both deep …

This paper describes a methodology for evaluating the operational rate-distortion behavior
of combined source and channel coding schemes with particular application to images. In …