{"title":"选择滤波器的信号恢复","authors":"R. Hardie, K. Barner, A. Sarhan","doi":"10.1109/NAECON.1994.332953","DOIUrl":null,"url":null,"abstract":"A class of nonlinear filters called rank conditioned rank selection (RCRS) filters is developed and analyzed in this paper. The RCRS filters are developed within the general framework of rank selection (RS) filters, which are filters constrained to output an order statistic from the observation set. The information used by the RCRS filters to select an output rank is the ranks of selected input samples, hence the name rank conditioned rank selection filters.<<ETX>>","PeriodicalId":281754,"journal":{"name":"Proceedings of National Aerospace and Electronics Conference (NAECON'94)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Selection filters for signal restoration\",\"authors\":\"R. Hardie, K. Barner, A. Sarhan\",\"doi\":\"10.1109/NAECON.1994.332953\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A class of nonlinear filters called rank conditioned rank selection (RCRS) filters is developed and analyzed in this paper. The RCRS filters are developed within the general framework of rank selection (RS) filters, which are filters constrained to output an order statistic from the observation set. The information used by the RCRS filters to select an output rank is the ranks of selected input samples, hence the name rank conditioned rank selection filters.<<ETX>>\",\"PeriodicalId\":281754,\"journal\":{\"name\":\"Proceedings of National Aerospace and Electronics Conference (NAECON'94)\",\"volume\":\"92 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of National Aerospace and Electronics Conference (NAECON'94)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON.1994.332953\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of National Aerospace and Electronics Conference (NAECON'94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON.1994.332953","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A class of nonlinear filters called rank conditioned rank selection (RCRS) filters is developed and analyzed in this paper. The RCRS filters are developed within the general framework of rank selection (RS) filters, which are filters constrained to output an order statistic from the observation set. The information used by the RCRS filters to select an output rank is the ranks of selected input samples, hence the name rank conditioned rank selection filters.<>
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