Composite Look-Up Table Gaussian Pseudo-Random Number Generator

L. Colavito, D. Silage
{"title":"Composite Look-Up Table Gaussian Pseudo-Random Number Generator","authors":"L. Colavito, D. Silage","doi":"10.1109/ReConFig.2009.12","DOIUrl":null,"url":null,"abstract":"Simulation of digital communication systems for the evaluation of bit error rate (BER) and other performance characteristics can be accelerated if the processing is implemented in programmable gate array (PGA) hardware. These simulations often require one or more Gaussian distributed pseudorandom number sources. Although uniformly distributed pseudorandom number sources can be readily implemented, Gaussian sources are not as easily configured. A typical method is to build a uniform source and transform the distribution to Gaussian. The inversion method accomplishes the transformation by the application of the inverse Gaussian cumulative distribution function (IGCDF). The IGCDF is easily obtained by the use of a look-up table (LUT). However, the memory required for the LUT can become large if it is to accurately represent the IGCDF. In this paper we demonstrate a method that can reduce the size of this LUT while allowing for control of the accuracy.","PeriodicalId":325631,"journal":{"name":"2009 International Conference on Reconfigurable Computing and FPGAs","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Reconfigurable Computing and FPGAs","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ReConFig.2009.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Simulation of digital communication systems for the evaluation of bit error rate (BER) and other performance characteristics can be accelerated if the processing is implemented in programmable gate array (PGA) hardware. These simulations often require one or more Gaussian distributed pseudorandom number sources. Although uniformly distributed pseudorandom number sources can be readily implemented, Gaussian sources are not as easily configured. A typical method is to build a uniform source and transform the distribution to Gaussian. The inversion method accomplishes the transformation by the application of the inverse Gaussian cumulative distribution function (IGCDF). The IGCDF is easily obtained by the use of a look-up table (LUT). However, the memory required for the LUT can become large if it is to accurately represent the IGCDF. In this paper we demonstrate a method that can reduce the size of this LUT while allowing for control of the accuracy.
复合查找表高斯伪随机数生成器
在可编程门阵列(PGA)硬件中实现对误码率(BER)和其他性能特性的评估,可以加快数字通信系统仿真的速度。这些模拟通常需要一个或多个高斯分布伪随机数源。虽然均匀分布的伪随机数源可以很容易地实现,但高斯源不容易配置。一种典型的方法是建立一个均匀源,并将分布转换为高斯分布。反演方法通过应用逆高斯累积分布函数(IGCDF)来完成变换。IGCDF很容易通过使用查找表(LUT)获得。但是,如果要准确地表示IGCDF, LUT所需的内存可能会变得很大。在本文中,我们展示了一种方法,可以减少这种LUT的大小,同时允许控制精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信