{"title":"基于混合方法的数字IIR滤波器优化设计","authors":"N. Agrawal, A. Kumar, V. Bajaj","doi":"10.1109/ICCSP.2015.7322776","DOIUrl":null,"url":null,"abstract":"In this paper, a hybrid optimization for the design infinite impulse response (IIR) filter employing particle swarm optimization (PSO) and artificial bee colony (ABC) algorithm is presented. The design problem is formulated as a mean square error between desired response and ideal response. For the stability of filter, a lattice structure in design is utilized. A comparative study of performance of PSO and its different variants is also made which shows improved efficiency of hybrid method in the field of IIR filter design.","PeriodicalId":174192,"journal":{"name":"2015 International Conference on Communications and Signal Processing (ICCSP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Hybrid method based optimized design of digital IIR filter\",\"authors\":\"N. Agrawal, A. Kumar, V. Bajaj\",\"doi\":\"10.1109/ICCSP.2015.7322776\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a hybrid optimization for the design infinite impulse response (IIR) filter employing particle swarm optimization (PSO) and artificial bee colony (ABC) algorithm is presented. The design problem is formulated as a mean square error between desired response and ideal response. For the stability of filter, a lattice structure in design is utilized. A comparative study of performance of PSO and its different variants is also made which shows improved efficiency of hybrid method in the field of IIR filter design.\",\"PeriodicalId\":174192,\"journal\":{\"name\":\"2015 International Conference on Communications and Signal Processing (ICCSP)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Communications and Signal Processing (ICCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSP.2015.7322776\",\"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 International Conference on Communications and Signal Processing (ICCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSP.2015.7322776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hybrid method based optimized design of digital IIR filter
In this paper, a hybrid optimization for the design infinite impulse response (IIR) filter employing particle swarm optimization (PSO) and artificial bee colony (ABC) algorithm is presented. The design problem is formulated as a mean square error between desired response and ideal response. For the stability of filter, a lattice structure in design is utilized. A comparative study of performance of PSO and its different variants is also made which shows improved efficiency of hybrid method in the field of IIR filter design.
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