Selective compression technique using Variable-to-Fixed coding

Karen Thangam Jacob, K. G. Ganesh Kumar, B. Manjurathi
{"title":"Selective compression technique using Variable-to-Fixed coding","authors":"Karen Thangam Jacob, K. G. Ganesh Kumar, B. Manjurathi","doi":"10.1109/ICCSP.2014.6950000","DOIUrl":null,"url":null,"abstract":"Inthis paper, we propose a code based technique, Variable-to-Fixed (V-F) coding, for power efficient test data compression. The proposed scheme with the aim of achieving high compression ratio and low power consumption relies on reducing, the number of bits for representing the original test vector and the number of transitions per second. Simulation results on ISCAS'89 benchmark circuits, demonstrate that this optimization methodology helps achieve reduced test data volume than previous schemes for cases where the number of specified bits in the test set is relatively few.","PeriodicalId":149965,"journal":{"name":"2014 International Conference on Communication and Signal Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Communication and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSP.2014.6950000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Inthis paper, we propose a code based technique, Variable-to-Fixed (V-F) coding, for power efficient test data compression. The proposed scheme with the aim of achieving high compression ratio and low power consumption relies on reducing, the number of bits for representing the original test vector and the number of transitions per second. Simulation results on ISCAS'89 benchmark circuits, demonstrate that this optimization methodology helps achieve reduced test data volume than previous schemes for cases where the number of specified bits in the test set is relatively few.
使用可变到固定编码的选择性压缩技术
在本文中,我们提出了一种基于编码的技术,可变到固定(V-F)编码,用于节能测试数据压缩。该方案以实现高压缩比和低功耗为目标,主要依靠减少表示原始测试向量的比特数和每秒转换次数。在ISCAS’89基准电路上的仿真结果表明,在测试集中指定比特数相对较少的情况下,这种优化方法有助于实现比以前的方案更少的测试数据量。
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