The University of Southampton
University of Southampton Institutional Repository

Stochastic computing improves the timing-error tolerance and latency of turbo decoders: design guidelines and trade-offs

Stochastic computing improves the timing-error tolerance and latency of turbo decoders: design guidelines and trade-offs
Stochastic computing improves the timing-error tolerance and latency of turbo decoders: design guidelines and trade-offs
1-30
Perez-Andrade, Isaac
51aa4dad-b027-4b31-8cf7-1225889be1dc
Zhong, Shida
8c250ea8-d473-4aed-b3c1-4fbcb17039b6
Maunder, Robert
76099323-7d58-4732-a98f-22a662ccba6c
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Perez-Andrade, Isaac
51aa4dad-b027-4b31-8cf7-1225889be1dc
Zhong, Shida
8c250ea8-d473-4aed-b3c1-4fbcb17039b6
Maunder, Robert
76099323-7d58-4732-a98f-22a662ccba6c
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Perez-Andrade, Isaac, Zhong, Shida, Maunder, Robert, Al-Hashimi, Bashir and Hanzo, Lajos (2016) Stochastic computing improves the timing-error tolerance and latency of turbo decoders: design guidelines and trade-offs IEEE Access, pp. 1-30. (doi:10.1109/ACCESS.2016.2523063).

Record type: Article
Text access-hanzo-2523063-proof.pdf - Accepted Manuscript
Download (15MB)

More information

Accepted/In Press date: 26 January 2016
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 386516
URI: http://eprints.soton.ac.uk/id/eprint/386516
PURE UUID: 6ff44f8d-80e7-436f-af57-df0b2204a3d3
ORCID for Robert Maunder: ORCID iD orcid.org/0000-0002-7944-2615
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 02 Feb 2016 10:14
Last modified: 03 Oct 2017 16:39

Export record

Altmetrics

Contributors

Author: Isaac Perez-Andrade
Author: Shida Zhong
Author: Robert Maunder ORCID iD
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

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 http://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.

×