{"title":"Constrained FIR filter design for 2-band filter banks and orthonormal wavelets","authors":"M. Lang, I. Selesnick, J. E. Odegard, C. Burrus","doi":"10.1109/DSP.1994.379839","DOIUrl":null,"url":null,"abstract":"2-band paraunitary FIR filter banks can be used to generate a multiresolution analysis with compactly supported orthonormal (ON) wavelets. The filter design problem is formulated and solved (a) as a constrained L/sub /spl infin// optimization problem and (b) as a constrained L/sub 2/ optimization problem which allows arbitrary compromises between an L/sub 2/ and an L/sub /spl infin// approach with both of them as special cases. Additional flatness constraints can also be easily included. The L/sub 2/ and the L/sub /spl infin// design are based on the Kuhn-Tucker (KT) conditions and the alternation theorem, respectively. Therefore, optimality of the solution is guaranteed. The method (a) is a simpler alternative to a known method. The method (b) solves a more general problem than the approaches known in the literature including all of them as special cases.<<ETX>>","PeriodicalId":189083,"journal":{"name":"Proceedings of IEEE 6th Digital Signal Processing Workshop","volume":"408 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE 6th Digital Signal Processing Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSP.1994.379839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
2-band paraunitary FIR filter banks can be used to generate a multiresolution analysis with compactly supported orthonormal (ON) wavelets. The filter design problem is formulated and solved (a) as a constrained L/sub /spl infin// optimization problem and (b) as a constrained L/sub 2/ optimization problem which allows arbitrary compromises between an L/sub 2/ and an L/sub /spl infin// approach with both of them as special cases. Additional flatness constraints can also be easily included. The L/sub 2/ and the L/sub /spl infin// design are based on the Kuhn-Tucker (KT) conditions and the alternation theorem, respectively. Therefore, optimality of the solution is guaranteed. The method (a) is a simpler alternative to a known method. The method (b) solves a more general problem than the approaches known in the literature including all of them as special cases.<>