Deep Joint Source-Channel Coding for Wireless Image Retrieval [PDF]
Motivated by surveillance applications with wireless cameras or drones, we consider the problem of image retrieval over a wireless channel. Conventional systems apply lossy compression on query images to reduce the data that must be transmitted over the bandwidth and power limited wireless link.
Jankowski M., Gunduz D., Mikolajczyk K.
openaire +2 more sources
Adaptive Bit Rate Control in Semantic Communication With Incremental Knowledge-Based HARQ
Semantic communication has witnessed a great progress with the development of natural language processing (NLP) and deep learning (DL). Although existing semantic communication technologies can effectively reduce errors in semantic interpretation, most ...
Qingyang Zhou +4 more
doaj +1 more source
Joint source-channel coding for deep space image transmission using rateless codes [PDF]
36 pages, 5 figures, to be submitted to IEEE Trans.
Bursalioglu, Ozgun Y. +2 more
openaire +3 more sources
Deep Learning for Joint Source-Channel Coding of Text [PDF]
accepted for publication in the proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP ...
Farsad, Nariman +2 more
openaire +2 more sources
Benchmarking End-to-end Learning of MIMO Physical-Layer Communication [PDF]
End-to-end data-driven machine learning (ML) of multiple-input multiple-output (MIMO) systems has been shown to have the potential of exceeding the performance of engineered MIMO transceivers, without any a priori knowledge of communication-theoretic ...
Häger, Christian +4 more
core +2 more sources
Deep Joint Source-Channel Coding Over Cooperative Relay Networks
Accepted to IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) 2024, code available via this link https://github.com/aprilbian ...
Bian, Chenghong +3 more
openaire +2 more sources
Iterative source and channel decoding relying on correlation modelling for wireless video transmission [PDF]
Since joint source-channel decoding (JSCD) is capable of exploiting the residual redundancy in the source signals for improving the attainable error resilience, it has attracted substantial attention.
Hanzo, Lajos +3 more
core +1 more source
Deep Joint Source-Channel and Encryption Coding: Secure Semantic Communications
Deep learning driven joint source-channel coding (JSCC) for wireless image or video transmission, also called DeepJSCC, has been a topic of interest recently with very promising results. The idea is to map similar source samples to nearby points in the channel input space such that, despite the noise introduced by the channel, the input can be ...
Tung, Tze-Yang, Gunduz, Deniz
openaire +2 more sources
A Rate Distortion approach to protein symmetry [PDF]
A spontaneous symmetry breaking argument is applied to the problem of protein form, via a Rate Distortion analysis of the relation between genome coding and the final condensation of the protein 'molten globule'.
Rodrick Wallace
core +2 more sources
6G White Paper on Machine Learning in Wireless Communication Networks
The focus of this white paper is on machine learning (ML) in wireless communications. 6G wireless communication networks will be the backbone of the digital transformation of societies by providing ubiquitous, reliable, and near-instant wireless ...
Abbas, Robert +26 more
core +1 more source

