{"title":"An adjustable window function to design an FIR filter","authors":"Mitun Shil, Hrishi Rakshit, Hadaate Ullah","doi":"10.1109/ICIVPR.2017.7890865","DOIUrl":null,"url":null,"abstract":"In this paper, a new window function is proposed, which can be used to design an FIR filter. The window is adjustable as by changing the value of a variable, the window can be adjusted accordingly. The proposed window is compared with hamming & Kaiser window. The result implies that, the proposed window has better side-lobe roll-off ratio (24.65 dB) than hamming (5.74 dB) & Kaiser (18.87 dB) window. Besides the ripple ratio of hamming & Kaiser window are −55.72 dB & −21.29 dB while the proposed window has −63.05 dB which is better than both windows. FIR filter, designed using the proposed window, has 24.78 dB side-lobe roll-off ratio, where hamming & Kaiser windows have 5.71 dB & 18.76 dB respectively.","PeriodicalId":126745,"journal":{"name":"2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIVPR.2017.7890865","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
Abstract
In this paper, a new window function is proposed, which can be used to design an FIR filter. The window is adjustable as by changing the value of a variable, the window can be adjusted accordingly. The proposed window is compared with hamming & Kaiser window. The result implies that, the proposed window has better side-lobe roll-off ratio (24.65 dB) than hamming (5.74 dB) & Kaiser (18.87 dB) window. Besides the ripple ratio of hamming & Kaiser window are −55.72 dB & −21.29 dB while the proposed window has −63.05 dB which is better than both windows. FIR filter, designed using the proposed window, has 24.78 dB side-lobe roll-off ratio, where hamming & Kaiser windows have 5.71 dB & 18.76 dB respectively.