{"title":"VLSI architectures for recursive and multiple-window order statistic filtering","authors":"M. Hakami, P. Warter, C. Boncelet, David Nassimi","doi":"10.1109/IPPS.1992.223030","DOIUrl":null,"url":null,"abstract":"Based on a recently developed class of sorting networks, new VLSI architectures suitable for order statistic filtering are developed. The major advantage of these architectures is minimal response-time regardless of the number of stages in the pipeline; an effective characteristic for implementing recursive order statistic filters. The devised word-parallel architecture is the only one introduced to date that is capable of operating in both recursive and standard modes with optimal throughput. The proposed architectures are also suitable for implementing order statistic filters with multiple overlapping windows.<<ETX>>","PeriodicalId":340070,"journal":{"name":"Proceedings Sixth International Parallel Processing Symposium","volume":"322 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Sixth International Parallel Processing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPPS.1992.223030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Based on a recently developed class of sorting networks, new VLSI architectures suitable for order statistic filtering are developed. The major advantage of these architectures is minimal response-time regardless of the number of stages in the pipeline; an effective characteristic for implementing recursive order statistic filters. The devised word-parallel architecture is the only one introduced to date that is capable of operating in both recursive and standard modes with optimal throughput. The proposed architectures are also suitable for implementing order statistic filters with multiple overlapping windows.<>