{"title":"一种新的基于最小二乘的IIR数字滤波器设计方法","authors":"Ting-cheng Zhang, Y. Wan","doi":"10.1109/ICCCAS.2018.8768939","DOIUrl":null,"url":null,"abstract":"In order to solve the multi-parameter optimization problem of the infinite impulse response (IIR) digital filter design, a design algorithm based on the least-squares method is proposed. The optimal filter is obtained by selecting 512 points to approximate the corresponding points of the amplitude response of the ideal filter. Computer simulations show that the maximum amplitude error of pass-band or stop-band (MME) of the IIR digital filter based on the least-squares method is significantly less than that of the traditional algorithm, and the convergence speed of the IIR digital filter is faster with the increase of the order.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A New Least-Squares Based Method for IIR Digital Filter Design\",\"authors\":\"Ting-cheng Zhang, Y. Wan\",\"doi\":\"10.1109/ICCCAS.2018.8768939\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to solve the multi-parameter optimization problem of the infinite impulse response (IIR) digital filter design, a design algorithm based on the least-squares method is proposed. The optimal filter is obtained by selecting 512 points to approximate the corresponding points of the amplitude response of the ideal filter. Computer simulations show that the maximum amplitude error of pass-band or stop-band (MME) of the IIR digital filter based on the least-squares method is significantly less than that of the traditional algorithm, and the convergence speed of the IIR digital filter is faster with the increase of the order.\",\"PeriodicalId\":166878,\"journal\":{\"name\":\"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCAS.2018.8768939\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCAS.2018.8768939","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Least-Squares Based Method for IIR Digital Filter Design
In order to solve the multi-parameter optimization problem of the infinite impulse response (IIR) digital filter design, a design algorithm based on the least-squares method is proposed. The optimal filter is obtained by selecting 512 points to approximate the corresponding points of the amplitude response of the ideal filter. Computer simulations show that the maximum amplitude error of pass-band or stop-band (MME) of the IIR digital filter based on the least-squares method is significantly less than that of the traditional algorithm, and the convergence speed of the IIR digital filter is faster with the increase of the order.
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