Results 21 to 30 of about 96,557 (255)

Deep Joint Source-Channel Coding for Wireless Image Retrieval [PDF]

open access: yesICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
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

open access: yesIEEE Open Journal of the Communications Society, 2022
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]

open access: yes2011 Information Theory and Applications Workshop, 2011
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]

open access: yes2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
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]

open access: yes, 2020
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

open access: yes, 2022
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]

open access: yes, 2013
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

open access: yesICC 2023 - IEEE International Conference on Communications, 2023
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]

open access: yes, 2010
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

open access: yes, 2020
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

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