二维离散小波变换的可伸缩收缩阵列结构

J. Chen, M. Bayoumi
{"title":"二维离散小波变换的可伸缩收缩阵列结构","authors":"J. Chen, M. Bayoumi","doi":"10.1109/VLSISP.1995.527501","DOIUrl":null,"url":null,"abstract":"A systematic synthesis approach has been developed for scalable systolic array architecture for a 2D discrete wavelet transform (DWT) based on the data dependence analysis and linear index space transformation. The proposed architecture has regular topology, local routing, simple controller and high throughput rate. It can be easily extended to different parameters of various levels, macroblocks and filters. The derived architecture has been prototyped using Cadence Edge Framework.","PeriodicalId":286121,"journal":{"name":"VLSI Signal Processing, VIII","volume":"266 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"A scalable systolic array architecture for 2D discrete wavelet transforms\",\"authors\":\"J. Chen, M. Bayoumi\",\"doi\":\"10.1109/VLSISP.1995.527501\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A systematic synthesis approach has been developed for scalable systolic array architecture for a 2D discrete wavelet transform (DWT) based on the data dependence analysis and linear index space transformation. The proposed architecture has regular topology, local routing, simple controller and high throughput rate. It can be easily extended to different parameters of various levels, macroblocks and filters. The derived architecture has been prototyped using Cadence Edge Framework.\",\"PeriodicalId\":286121,\"journal\":{\"name\":\"VLSI Signal Processing, VIII\",\"volume\":\"266 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"VLSI Signal Processing, VIII\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VLSISP.1995.527501\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"VLSI Signal Processing, VIII","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSISP.1995.527501","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21

摘要

提出了一种基于数据相关性分析和线性索引空间变换的二维离散小波变换可伸缩收缩阵列结构的系统综合方法。该架构具有拓扑规则、本地路由、控制器简单、吞吐量高的特点。它可以很容易地扩展到各种级别,宏块和过滤器的不同参数。衍生的架构已经使用Cadence边缘框架原型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A scalable systolic array architecture for 2D discrete wavelet transforms
A systematic synthesis approach has been developed for scalable systolic array architecture for a 2D discrete wavelet transform (DWT) based on the data dependence analysis and linear index space transformation. The proposed architecture has regular topology, local routing, simple controller and high throughput rate. It can be easily extended to different parameters of various levels, macroblocks and filters. The derived architecture has been prototyped using Cadence Edge Framework.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:604180095
Book学术官方微信