{"title":"基于序统计量的滤波器的泛化","authors":"Ji-Nan Lin, R. Unbehauen","doi":"10.1109/ISCAS.1994.408959","DOIUrl":null,"url":null,"abstract":"The generalization of order statistics (OS) based filters which are a useful class of nonlinear digital filters, is considered from two aspects. The piecewise-linear characteristics of OS based filters are first investigated, which indicates the direction of generalizing them in the set of piecewise-linear filters. The second way of the generalization considered here is through approximating an OS based filter by a filter of a general type. In both cases, the newly developed CPWL filter plays an important role.<<ETX>>","PeriodicalId":140999,"journal":{"name":"Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On generalization of order statistics based filters\",\"authors\":\"Ji-Nan Lin, R. Unbehauen\",\"doi\":\"10.1109/ISCAS.1994.408959\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The generalization of order statistics (OS) based filters which are a useful class of nonlinear digital filters, is considered from two aspects. The piecewise-linear characteristics of OS based filters are first investigated, which indicates the direction of generalizing them in the set of piecewise-linear filters. The second way of the generalization considered here is through approximating an OS based filter by a filter of a general type. In both cases, the newly developed CPWL filter plays an important role.<<ETX>>\",\"PeriodicalId\":140999,\"journal\":{\"name\":\"Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS '94\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCAS.1994.408959\",\"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 IEEE International Symposium on Circuits and Systems - ISCAS '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAS.1994.408959","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On generalization of order statistics based filters
The generalization of order statistics (OS) based filters which are a useful class of nonlinear digital filters, is considered from two aspects. The piecewise-linear characteristics of OS based filters are first investigated, which indicates the direction of generalizing them in the set of piecewise-linear filters. The second way of the generalization considered here is through approximating an OS based filter by a filter of a general type. In both cases, the newly developed CPWL filter plays an important role.<>