The University of Southampton
University of Southampton Institutional Repository

Discrete Multi-Tone Digital Subscriber Loop Performance in the Face of Impulsive Noise

Discrete Multi-Tone Digital Subscriber Loop Performance in the Face of Impulsive Noise
Discrete Multi-Tone Digital Subscriber Loop Performance in the Face of Impulsive Noise
The .zip file contains experimental data and figure for the paper: Tong Bai, Chao Xu, Rong Zhang, Anas F. AI Rawi and Lajos Hanzo 2017, 'Discrete Multi-Tone Digital Subscriber Loop Performance in the Face of Impulsive Noise' IEEE Access.
University of Southampton
Bai, Tong
15e00a16-2ade-4fdb-a4d9-a490a526669a
Bai, Tong
15e00a16-2ade-4fdb-a4d9-a490a526669a

Bai, Tong (2017) Discrete Multi-Tone Digital Subscriber Loop Performance in the Face of Impulsive Noise. University of Southampton doi:10.5258/SOTON/D0106 [Dataset]

Record type: Dataset

Abstract

The .zip file contains experimental data and figure for the paper: Tong Bai, Chao Xu, Rong Zhang, Anas F. AI Rawi and Lajos Hanzo 2017, 'Discrete Multi-Tone Digital Subscriber Loop Performance in the Face of Impulsive Noise' IEEE Access.

Archive
dat.zip - Dataset
Available under License Creative Commons Attribution.
Download (1MB)
Text
readme.odt - Text
Available under License Creative Commons Attribution.
Download (17kB)

More information

Published date: 2017
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 410063
URI: http://eprints.soton.ac.uk/id/eprint/410063
PURE UUID: c30024fc-03cb-4671-a3fb-a385fcbf2a4f

Catalogue record

Date deposited: 02 Jun 2017 04:02
Last modified: 04 Nov 2023 20:59

Export record

Altmetrics

Contributors

Creator: Tong Bai

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.

×