{"title":"采用实复分解的线性相位变量二维滤波器设计","authors":"T. Deng","doi":"10.1109/ISCAS.1997.612821","DOIUrl":null,"url":null,"abstract":"This paper proposes a new method for designing two-dimensional (2-D) variable digital filters with arbitrary variable magnitude characteristics and linear phases. By combining the given variable magnitude specification with linear phase specification, we first form a variable 2-D frequency response specification. Then we propose a real-complex decomposition method for decomposing the complex-valued variable specification into real-valued and complex-valued components. Finally, the resulting real-valued components are approximated by using 1-D polynomials, and the complex-valued components are approximated by the normal constant 2-D filters. Connecting the 1-D polynomials and 2-D constant filters obtains a variable 2-D filter. The significant advantage of the design method lies in that it can reduce the original difficult problem to a set of easier ones through the real-complex decomposition of the given variable specification.","PeriodicalId":68559,"journal":{"name":"电路与系统学报","volume":"51 1","pages":"2457-2460 vol.4"},"PeriodicalIF":0.0000,"publicationDate":"1997-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Linear phase variable 2-D filter design using real-complex decomposition\",\"authors\":\"T. Deng\",\"doi\":\"10.1109/ISCAS.1997.612821\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new method for designing two-dimensional (2-D) variable digital filters with arbitrary variable magnitude characteristics and linear phases. By combining the given variable magnitude specification with linear phase specification, we first form a variable 2-D frequency response specification. Then we propose a real-complex decomposition method for decomposing the complex-valued variable specification into real-valued and complex-valued components. Finally, the resulting real-valued components are approximated by using 1-D polynomials, and the complex-valued components are approximated by the normal constant 2-D filters. Connecting the 1-D polynomials and 2-D constant filters obtains a variable 2-D filter. The significant advantage of the design method lies in that it can reduce the original difficult problem to a set of easier ones through the real-complex decomposition of the given variable specification.\",\"PeriodicalId\":68559,\"journal\":{\"name\":\"电路与系统学报\",\"volume\":\"51 1\",\"pages\":\"2457-2460 vol.4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"电路与系统学报\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCAS.1997.612821\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"电路与系统学报","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ISCAS.1997.612821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Linear phase variable 2-D filter design using real-complex decomposition
This paper proposes a new method for designing two-dimensional (2-D) variable digital filters with arbitrary variable magnitude characteristics and linear phases. By combining the given variable magnitude specification with linear phase specification, we first form a variable 2-D frequency response specification. Then we propose a real-complex decomposition method for decomposing the complex-valued variable specification into real-valued and complex-valued components. Finally, the resulting real-valued components are approximated by using 1-D polynomials, and the complex-valued components are approximated by the normal constant 2-D filters. Connecting the 1-D polynomials and 2-D constant filters obtains a variable 2-D filter. The significant advantage of the design method lies in that it can reduce the original difficult problem to a set of easier ones through the real-complex decomposition of the given variable specification.