{"title":"用矩阵迭代算法设计中心对称二维FIR滤波器","authors":"Ruijie Zhao","doi":"10.1109/ICDSP.2015.7251325","DOIUrl":null,"url":null,"abstract":"The weighted least squares (WLS) design problem of two-dimensional (2-D) FIR filters with centro-symmetric response is considered in this paper. Its optimality condition is given and expressed as a pair of matrix equations, which involves two matrix variables, i.e., the coefficients of filters to be determined. Then, based on the optimality condition, a matrix iterative algorithm is developed to solve the design problem and its convergence is established using linear operator theory. Because the coefficients of filters are in their natural matrix forms in the algorithm, great savings in computations and memory space required are achieved. Finally, a design example and comparisons with existing methods are provided to illustrate the effectiveness and efficiency of the proposed algorithm.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"WLS design of centro-symmetric 2-D FIR filters using matrix iterative algorithm\",\"authors\":\"Ruijie Zhao\",\"doi\":\"10.1109/ICDSP.2015.7251325\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The weighted least squares (WLS) design problem of two-dimensional (2-D) FIR filters with centro-symmetric response is considered in this paper. Its optimality condition is given and expressed as a pair of matrix equations, which involves two matrix variables, i.e., the coefficients of filters to be determined. Then, based on the optimality condition, a matrix iterative algorithm is developed to solve the design problem and its convergence is established using linear operator theory. Because the coefficients of filters are in their natural matrix forms in the algorithm, great savings in computations and memory space required are achieved. Finally, a design example and comparisons with existing methods are provided to illustrate the effectiveness and efficiency of the proposed algorithm.\",\"PeriodicalId\":216293,\"journal\":{\"name\":\"2015 IEEE International Conference on Digital Signal Processing (DSP)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Digital Signal Processing (DSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSP.2015.7251325\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Digital Signal Processing (DSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSP.2015.7251325","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
WLS design of centro-symmetric 2-D FIR filters using matrix iterative algorithm
The weighted least squares (WLS) design problem of two-dimensional (2-D) FIR filters with centro-symmetric response is considered in this paper. Its optimality condition is given and expressed as a pair of matrix equations, which involves two matrix variables, i.e., the coefficients of filters to be determined. Then, based on the optimality condition, a matrix iterative algorithm is developed to solve the design problem and its convergence is established using linear operator theory. Because the coefficients of filters are in their natural matrix forms in the algorithm, great savings in computations and memory space required are achieved. Finally, a design example and comparisons with existing methods are provided to illustrate the effectiveness and efficiency of the proposed algorithm.