{"title":"Design of finite word length FIR digital filter using a parallel genetic algorithm","authors":"D. Xu, M.L. Daley","doi":"10.1109/SECON.1992.202251","DOIUrl":null,"url":null,"abstract":"The application of a parallel genetic algorithm implemented with a Hypercube computer to design optimal finite-wordlength finite-impulse-response digital filters is described. Two examples of this application to the design of a Chebyshev low-pass digital filter are given. One example, describing a filter with a length of 40 coefficients and 10-b wordlength, is used for comparison to a previously reported identical design problem which was solved with a general-purpose integer programming algorithm. This comparison reveals that the genetic algorithm produces a better Chebyshev approximation to the desired frequency response. The second example describes the results of the application of the genetic algorithm to the design of a high-order filter developed for the processing of seismic signals. The characteristics of this second filter with 140 coefficients and a 16-b wordlength are compared to those obtained by a rounded-off method.<<ETX>>","PeriodicalId":230446,"journal":{"name":"Proceedings IEEE Southeastcon '92","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE Southeastcon '92","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.1992.202251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
The application of a parallel genetic algorithm implemented with a Hypercube computer to design optimal finite-wordlength finite-impulse-response digital filters is described. Two examples of this application to the design of a Chebyshev low-pass digital filter are given. One example, describing a filter with a length of 40 coefficients and 10-b wordlength, is used for comparison to a previously reported identical design problem which was solved with a general-purpose integer programming algorithm. This comparison reveals that the genetic algorithm produces a better Chebyshev approximation to the desired frequency response. The second example describes the results of the application of the genetic algorithm to the design of a high-order filter developed for the processing of seismic signals. The characteristics of this second filter with 140 coefficients and a 16-b wordlength are compared to those obtained by a rounded-off method.<>
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