{"title":"The effect of uniform scattered Genetic Algorithms to window function performance","authors":"T. Kaya, M. C. Ince","doi":"10.1109/SIU.2010.5653480","DOIUrl":null,"url":null,"abstract":"In this study, the effects of Genetic Algorithms (GA) having uniform scattered initial population was analysed to window function performance used at design of finite impulse response filter prefered for many areas. At work, the comparison with amplitude response of Kaiser window having many features was done. With this work, GAs having different initial population were used to obtain more useful window function at calculation of suitable spectral parameter values. The obtained results show that to get result, uniform scattered GA is more successful than having random produced population. Addition, obtained results were shown with figures and were compared with Kaiser window results and finally, it was observed that the improved method for some applications has more useful structure.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 18th Signal Processing and Communications Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIU.2010.5653480","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this study, the effects of Genetic Algorithms (GA) having uniform scattered initial population was analysed to window function performance used at design of finite impulse response filter prefered for many areas. At work, the comparison with amplitude response of Kaiser window having many features was done. With this work, GAs having different initial population were used to obtain more useful window function at calculation of suitable spectral parameter values. The obtained results show that to get result, uniform scattered GA is more successful than having random produced population. Addition, obtained results were shown with figures and were compared with Kaiser window results and finally, it was observed that the improved method for some applications has more useful structure.