{"title":"2次幂系数FIR数字滤波器的进化设计","authors":"Paolo Gentili, F. Piazza, A. Uncini","doi":"10.1109/ICEC.1994.350032","DOIUrl":null,"url":null,"abstract":"The paper presents a genetic approach to the design of finite impulse response filters with coefficients constrained to be sums of power-of-two terms. The evolutionary algorithm is explained and compared experimentally with other state-of-the-art design methods. The proposed technique is able to attain good results and can be easily implemented on parallel hardware.<<ETX>>","PeriodicalId":393865,"journal":{"name":"Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Evolutionary design of FIR digital filters with power-of-two coefficients\",\"authors\":\"Paolo Gentili, F. Piazza, A. Uncini\",\"doi\":\"10.1109/ICEC.1994.350032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a genetic approach to the design of finite impulse response filters with coefficients constrained to be sums of power-of-two terms. The evolutionary algorithm is explained and compared experimentally with other state-of-the-art design methods. The proposed technique is able to attain good results and can be easily implemented on parallel hardware.<<ETX>>\",\"PeriodicalId\":393865,\"journal\":{\"name\":\"Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEC.1994.350032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEC.1994.350032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evolutionary design of FIR digital filters with power-of-two coefficients
The paper presents a genetic approach to the design of finite impulse response filters with coefficients constrained to be sums of power-of-two terms. The evolutionary algorithm is explained and compared experimentally with other state-of-the-art design methods. The proposed technique is able to attain good results and can be easily implemented on parallel hardware.<>