{"title":"数字滤波器光谱变换的递归矩阵方法","authors":"T. Goodman, M. Aburdene","doi":"10.1109/CISS.2009.5054821","DOIUrl":null,"url":null,"abstract":"The problem of converting a digital prototype filter, Hp (z), to a filter with specified cutoff parameters involves computing a new filter, H (z), from the prototype filter. A new recursive matrix approach for the conversion is presented. This simpler and more direct method is used to convert digital lowpass-to-digital lowpass filters and digital lowpass-to-digital highpass filters.","PeriodicalId":433796,"journal":{"name":"2009 43rd Annual Conference on Information Sciences and Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A recursive matrix approach to spectral transformations for digital filters\",\"authors\":\"T. Goodman, M. Aburdene\",\"doi\":\"10.1109/CISS.2009.5054821\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of converting a digital prototype filter, Hp (z), to a filter with specified cutoff parameters involves computing a new filter, H (z), from the prototype filter. A new recursive matrix approach for the conversion is presented. This simpler and more direct method is used to convert digital lowpass-to-digital lowpass filters and digital lowpass-to-digital highpass filters.\",\"PeriodicalId\":433796,\"journal\":{\"name\":\"2009 43rd Annual Conference on Information Sciences and Systems\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 43rd Annual Conference on Information Sciences and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISS.2009.5054821\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 43rd Annual Conference on Information Sciences and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISS.2009.5054821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A recursive matrix approach to spectral transformations for digital filters
The problem of converting a digital prototype filter, Hp (z), to a filter with specified cutoff parameters involves computing a new filter, H (z), from the prototype filter. A new recursive matrix approach for the conversion is presented. This simpler and more direct method is used to convert digital lowpass-to-digital lowpass filters and digital lowpass-to-digital highpass filters.