{"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}
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.