The University of Southampton
University of Southampton Institutional Repository

Iterative source and channel decoding relying on correlation modelling for wireless video transmission

Huo, Yongkai, Wang, Tao, Maunder, Robert G. and Hanzo, Lajos (2013) Iterative source and channel decoding relying on correlation modelling for wireless video transmission IET Communications, 7, (14), pp. 1465-1475. (doi:10.1049/iet-com.2013.0053).

Record type: Article


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. Motivated by the principle of exploiting the source redundancy at the receiver, in this treatise we study the application of iterative source channel decoding (ISCD) aided video communications, where the video signal is modelled by a first-order Markov process. Firstly, we derive reduced-complexity formulas for the first-order Markov modelling (FOMM) aided source decoding. Then we propose a bit-based iterative horizontal vertical scanline model (IHVSM) aided source decoding algorithm, where a horizontal and a vertical source decoder are employed for exchanging their extrinsic information using the iterative decoding philosophy. The iterative IHVSM aided decoder is then employed in a forward error correction (FEC) encoded uncompressed video transmission scenario, where the IHVSM and the FEC decoder exchange softbit-information for performing turbo-like ISCD for the sake of improving the reconstructed video quality. Finally, we benchmark the attainable system performance against a near-lossless H.264/AVC video communication system and the existing FOMM based softbit source decoding scheme, where The financial support of the RC-UK under the auspices of the India-UK Advanced Technology Centre (IU-ATC) and that of the EU under the CONCERTO project as well as that of the European Research Council’s Advanced Fellow Grant is gratefully acknowledged. The softbit decoding is performed by a one-dimensional Markov model aided decoder. Our simulation results show that Eb=N0 improvements in excess of 2.8 dB are attainable by the proposed technique in uncompressed video applications.

PDF COM-2013-0053-PROOF.pdf - Author's Original
Download (1MB)
PDF IETCom.pdf - Other
Download (1MB)

More information

Published date: 24 September 2013
Organisations: Southampton Wireless Group


Local EPrints ID: 350839
PURE UUID: da6e2331-03e5-47d1-b495-79fa306c46c6
ORCID for Robert G. Maunder: ORCID iD

Catalogue record

Date deposited: 08 Apr 2013 15:34
Last modified: 18 Jul 2017 04:30

Export record



Author: Yongkai Huo
Author: Tao Wang
Author: Robert G. Maunder ORCID iD
Author: Lajos Hanzo

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.