{"title":"Design of 2-D FIR Half-Band Filters Using Genetic Algorithm","authors":"F. Wysocka-Schillak","doi":"10.1109/ISITC.2007.38","DOIUrl":null,"url":null,"abstract":"In the paper, a method for designing 2D FIR linear-phase half-band filters is proposed. The method is based on two error criteria, i.e., equiripple error criterion in the passband and least-squared error criterion in the stopband. The filter design problem is transformed into an equivalent bicriterion optimization problem. A two-step solution procedure of the considered problem is presented. In the first step, a genetic algorithm is applied. The final point from the genetic algorithm is used as the starting point for a local optimization method. Two design examples are given to illustrate the proposed technique.","PeriodicalId":394071,"journal":{"name":"2007 International Symposium on Information Technology Convergence (ISITC 2007)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Symposium on Information Technology Convergence (ISITC 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISITC.2007.38","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In the paper, a method for designing 2D FIR linear-phase half-band filters is proposed. The method is based on two error criteria, i.e., equiripple error criterion in the passband and least-squared error criterion in the stopband. The filter design problem is transformed into an equivalent bicriterion optimization problem. A two-step solution procedure of the considered problem is presented. In the first step, a genetic algorithm is applied. The final point from the genetic algorithm is used as the starting point for a local optimization method. Two design examples are given to illustrate the proposed technique.