{"title":"VLSI implementation for MAC-level DWT architecture","authors":"Shiuh-Rong Huang, Lan-Rong Dung","doi":"10.1109/ISVLSI.2002.1016882","DOIUrl":null,"url":null,"abstract":"This paper presents a VLSI design methodology for the MAC-level DWT processor based on a novel limited-resource scheduling (LRS) algorithm. The r-split Fully-specified Signal Flow Graph (FSFG) of the limited-resource FIR filter has been developed for the scheduling of MAC-level DWT signal processing. Given a set of architecture constraints and DWT parameters, the LRS algorithm can generate four scheduling matrices that drive the data path to perform the DWT computation, and the performance has also been investigated. Because the registers of FIR filtering are reused for the inter-octave storage, the MAC-level DWT architecture may require less extra inter-octave memory than the traditional architecture.","PeriodicalId":177982,"journal":{"name":"Proceedings IEEE Computer Society Annual Symposium on VLSI. New Paradigms for VLSI Systems Design. ISVLSI 2002","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE Computer Society Annual Symposium on VLSI. New Paradigms for VLSI Systems Design. ISVLSI 2002","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISVLSI.2002.1016882","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
This paper presents a VLSI design methodology for the MAC-level DWT processor based on a novel limited-resource scheduling (LRS) algorithm. The r-split Fully-specified Signal Flow Graph (FSFG) of the limited-resource FIR filter has been developed for the scheduling of MAC-level DWT signal processing. Given a set of architecture constraints and DWT parameters, the LRS algorithm can generate four scheduling matrices that drive the data path to perform the DWT computation, and the performance has also been investigated. Because the registers of FIR filtering are reused for the inter-octave storage, the MAC-level DWT architecture may require less extra inter-octave memory than the traditional architecture.