Please use this identifier to cite or link to this item:
Title: A high throughput Gaussian noise generator
Authors: Lu, Q
Fan, J
Sham, CW
Lau, FCM 
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS, 2015, 7032733, p. 117-120 How to cite?
Abstract: A digital additive white Gaussian noise (AWGN) generator has recently become a public focus with the increasing demand of hardware simulation in researches on communication discipline. Some successful ideas of software, such as the Box-Muller method, are then proposed and implemented into hardware platforms and the architecture design has attracted new studies. Then high-precision small-error Gaussian noise generators appeared in literatures from time to time. Considering that the academic applications prefer higher throughput and the data resolution are always limited by hardware resources, we propose to use a straightforward architecture based on a Gaussian lookup table in these cases. In this paper, such an architecture has been fully investigated and the corresponding FPGA implementation gives out a high throughput of 800 million noise samples per second.
Description: 2014 IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2014, 17 -20 November 2014
DOI: 10.1109/APCCAS.2014.7032733
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Aug 13, 2018

Page view(s)

Last Week
Last month
Citations as of Aug 14, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.