{"title":"基于平方误差的数字滤波器性能","authors":"Abbas T Alsahlanee","doi":"10.1109/ACA52198.2021.9626820","DOIUrl":null,"url":null,"abstract":"A digital filter with infinite impulse response (IIR) was designed using the hybrid optimization methodology. The algorithm used is a dynamic-static topology of particle swarm optimization (DS-PSO) algorithm. The subject of non-linear mean square error (SE) optimization between the original and required filter responses in the passband, stopband, and transition band while tolerating permitted ripples in those bands was studied. Experimental results indicate a significant decrease in SE rates of passband and stopband with used technique, where SE values of digital IIR filter with DS-PSO were better than they were with evolutionary algorithms like DI-PSO (dynamic inertia PSO) and MDI-PSO (modified dynamic inertia PSO), at rates from about 50%–90% and 10%–90%, respectively, depending on filter’s order. As a result, as compared to evolutionary algorithms, the suggested method creates greater fidelity coefficients and stable digital filters.","PeriodicalId":337954,"journal":{"name":"2021 International Conference on Advanced Computer Applications (ACA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Digital Filter Performance Based on Squared Error\",\"authors\":\"Abbas T Alsahlanee\",\"doi\":\"10.1109/ACA52198.2021.9626820\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A digital filter with infinite impulse response (IIR) was designed using the hybrid optimization methodology. The algorithm used is a dynamic-static topology of particle swarm optimization (DS-PSO) algorithm. The subject of non-linear mean square error (SE) optimization between the original and required filter responses in the passband, stopband, and transition band while tolerating permitted ripples in those bands was studied. Experimental results indicate a significant decrease in SE rates of passband and stopband with used technique, where SE values of digital IIR filter with DS-PSO were better than they were with evolutionary algorithms like DI-PSO (dynamic inertia PSO) and MDI-PSO (modified dynamic inertia PSO), at rates from about 50%–90% and 10%–90%, respectively, depending on filter’s order. As a result, as compared to evolutionary algorithms, the suggested method creates greater fidelity coefficients and stable digital filters.\",\"PeriodicalId\":337954,\"journal\":{\"name\":\"2021 International Conference on Advanced Computer Applications (ACA)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Advanced Computer Applications (ACA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACA52198.2021.9626820\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Advanced Computer Applications (ACA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACA52198.2021.9626820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A digital filter with infinite impulse response (IIR) was designed using the hybrid optimization methodology. The algorithm used is a dynamic-static topology of particle swarm optimization (DS-PSO) algorithm. The subject of non-linear mean square error (SE) optimization between the original and required filter responses in the passband, stopband, and transition band while tolerating permitted ripples in those bands was studied. Experimental results indicate a significant decrease in SE rates of passband and stopband with used technique, where SE values of digital IIR filter with DS-PSO were better than they were with evolutionary algorithms like DI-PSO (dynamic inertia PSO) and MDI-PSO (modified dynamic inertia PSO), at rates from about 50%–90% and 10%–90%, respectively, depending on filter’s order. As a result, as compared to evolutionary algorithms, the suggested method creates greater fidelity coefficients and stable digital filters.