{"title":"Design of 2-D quadrantally symmetric IIR digital filter using singular value decomposition and ordered real Schur form","authors":"R. Aldhaheri, Ameen S. Al-Moshadak","doi":"10.1109/ISSPA.2001.949767","DOIUrl":null,"url":null,"abstract":"A new technique is presented to design quadrantally symmetric 2-D IIR filters. This technique is based on two steps: first, the 2-D impulse response matrix (Hankel matrix) is decomposed by the SVD (singular value decomposition) to k parallel branches, each branch is composed of two cascaded single-input single-output (SISO) 1-D FIR filters. Second, a truncated model reduction algorithm is applied to the 1-D filters to approximate the N/sub l/-dimensional FIR into n/sub l/-dimensional IIR filters, where. n/sub l/<N/sub l/, l=1,2. The transformation that converts the FIR to IIR filters is obtained by finding the eigenspace associated with the large eigenvalues of the cross-gramian matrix W/sub co/ using the ordered real Schur form decomposition. Examples are given to illustrate the proposed technique.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.2001.949767","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A new technique is presented to design quadrantally symmetric 2-D IIR filters. This technique is based on two steps: first, the 2-D impulse response matrix (Hankel matrix) is decomposed by the SVD (singular value decomposition) to k parallel branches, each branch is composed of two cascaded single-input single-output (SISO) 1-D FIR filters. Second, a truncated model reduction algorithm is applied to the 1-D filters to approximate the N/sub l/-dimensional FIR into n/sub l/-dimensional IIR filters, where. n/sub l/