The University of Southampton
University of Southampton Institutional Repository

Reduced-complexity iterative Markov chain MBER detection for MIMO systems

Reduced-complexity iterative Markov chain MBER detection for MIMO systems
Reduced-complexity iterative Markov chain MBER detection for MIMO systems
160 -163
Sugiura, Shinya
4c8665dd-1ad8-4dc0-9298-bf04eded3579
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Sugiura, Shinya
4c8665dd-1ad8-4dc0-9298-bf04eded3579
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Sugiura, Shinya, Chen, Sheng and Hanzo, Lajos (2009) Reduced-complexity iterative Markov chain MBER detection for MIMO systems IEEE Signal Processing Letters, 16, (3), 160 -163.

Record type: Article
PDF Reduced_Complexity_MIMO_Systems.pdf - Version of Record
Download (177kB)

More information

Published date: March 2009
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 267111
URI: https://eprints.soton.ac.uk/id/eprint/267111
PURE UUID: 39957e8e-ce5b-45bf-87fb-2de8f766f2be
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 16 Feb 2009 12:09
Last modified: 18 Jul 2017 07:08

Export record

Contributors

Author: Shinya Sugiura
Author: Sheng Chen
Author: Lajos Hanzo ORCID iD

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

Library staff edit
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

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.

×