The recent deep learning-based joint source-channel coding (deep JSCC) framework has
shown superior performance on end-to-end wireless image transmission without suffering …

In recent developments, deep learning (DL)-based joint source-channel coding (JSCC) for
wireless image transmission has made significant strides in performance enhancement …

We present a novel adaptive deep joint source-channel coding (JSCC) scheme for wireless
image transmission. The proposed scheme supports multiple rates using a single deep …

The implementation of joint source-channel coding (JSCC) schemes using deep learning
has accelerated the development of semantic communication research. Existing JSCC …

Recent research on joint source channel coding (JSCC) for wireless communications has
achieved great success owing to the employment of deep learning (DL). However, the …

We propose a joint source and channel coding (JSCC) technique for wireless image
transmission that does not rely on explicit codes for either compression or error correction; …

Recent works have shown that the task of wireless transmission of images can be learned
with the use of machine learning techniques. Very promising results in end-to-end image …

We propose deep learning based communication methods for adaptive-bandwidth
transmission of images over wireless channels. We consider the scenario in which images …

Machine learning techniques have recently offered powerful tools for designing joint source-
channel coding (JSCC) schemes with impressive performance results. Recent works have …

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