{"title":"IIR和FIR陷波滤波器的统一设计方法","authors":"Yi Jiang, Cong Shen, J. Dai","doi":"10.1109/ICASSP.2016.7472587","DOIUrl":null,"url":null,"abstract":"This paper presents a unified, optimization-driven solution for designing IIR and FIR notch filters with prescribed, possibly varying notch levels in the given stop-bands, and near unit magnitude frequency response at the pass-bands. Although the original IIR notch filter optimization problem is non-convex, we show that it can be well approximated by a convex problem, by replacing a non-positive semi-definite 2 × 2 Hermitian matrix with its nearest positive semi-definite counterpart. With this approach, the IIR filter design can be efficiently solved via Newton iteration. The same approach can be directly applied to the FIR filter design since it is a degenerated case of the IIR filter. Moreover, we show that the FIR design problem is convex and therefore can be solved optimally. Numerical examples are presented to verify the effectiveness of the proposed design.","PeriodicalId":165321,"journal":{"name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A unified approach to the design of IIR and FIR notch filters\",\"authors\":\"Yi Jiang, Cong Shen, J. Dai\",\"doi\":\"10.1109/ICASSP.2016.7472587\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a unified, optimization-driven solution for designing IIR and FIR notch filters with prescribed, possibly varying notch levels in the given stop-bands, and near unit magnitude frequency response at the pass-bands. Although the original IIR notch filter optimization problem is non-convex, we show that it can be well approximated by a convex problem, by replacing a non-positive semi-definite 2 × 2 Hermitian matrix with its nearest positive semi-definite counterpart. With this approach, the IIR filter design can be efficiently solved via Newton iteration. The same approach can be directly applied to the FIR filter design since it is a degenerated case of the IIR filter. Moreover, we show that the FIR design problem is convex and therefore can be solved optimally. Numerical examples are presented to verify the effectiveness of the proposed design.\",\"PeriodicalId\":165321,\"journal\":{\"name\":\"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.2016.7472587\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.2016.7472587","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A unified approach to the design of IIR and FIR notch filters
This paper presents a unified, optimization-driven solution for designing IIR and FIR notch filters with prescribed, possibly varying notch levels in the given stop-bands, and near unit magnitude frequency response at the pass-bands. Although the original IIR notch filter optimization problem is non-convex, we show that it can be well approximated by a convex problem, by replacing a non-positive semi-definite 2 × 2 Hermitian matrix with its nearest positive semi-definite counterpart. With this approach, the IIR filter design can be efficiently solved via Newton iteration. The same approach can be directly applied to the FIR filter design since it is a degenerated case of the IIR filter. Moreover, we show that the FIR design problem is convex and therefore can be solved optimally. Numerical examples are presented to verify the effectiveness of the proposed design.