Md. Nurul Islam Khan, Saifur Rahman Sabuj, Mitun Shil, Md. Saiful Islam
{"title":"An Adjustable FIR Filter to Denoise the Noisy Voice Signal in Air Traffic Communication","authors":"Md. Nurul Islam Khan, Saifur Rahman Sabuj, Mitun Shil, Md. Saiful Islam","doi":"10.1109/ICREST.2019.8644066","DOIUrl":null,"url":null,"abstract":"This paper describes a new window function which is adjustable as well as enriched with linear phase response. Using a simple regulator, the new window can be altered according to need. The proposed window function is a combination of a sine and cosine function. The window function has been compared with Kaiser, Gaussian, Tukey and a window proposed by Rakshit et el. and their filters. The simulation results show that the output of the designed FIR low-pass filters reflects higher SNR value for the presented filter which is 3.4227. Moreover, the presented window is showing 2.78 dB higher sidelobe roll-off ratio than the Kaiser window, 2.18 dB more than the Tukey window and 1.84 dB greater than the Gaussian window-based FIR filter.","PeriodicalId":108842,"journal":{"name":"2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICREST.2019.8644066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper describes a new window function which is adjustable as well as enriched with linear phase response. Using a simple regulator, the new window can be altered according to need. The proposed window function is a combination of a sine and cosine function. The window function has been compared with Kaiser, Gaussian, Tukey and a window proposed by Rakshit et el. and their filters. The simulation results show that the output of the designed FIR low-pass filters reflects higher SNR value for the presented filter which is 3.4227. Moreover, the presented window is showing 2.78 dB higher sidelobe roll-off ratio than the Kaiser window, 2.18 dB more than the Tukey window and 1.84 dB greater than the Gaussian window-based FIR filter.