{"title":"子带自适应降噪器,用于免提蜂窝电话应用","authors":"S. Kuo, J. Kunduru","doi":"10.1109/ASPAA.1993.380006","DOIUrl":null,"url":null,"abstract":"Broadband adaptive noise cancellation applications often involve adaptive filter lengths of hundreds of taps. This gives rise to high computational complexity, large misadjustment errors and slow convergence. In this paper subband processing techniques are proposed to get a better noise cancellation in hands-free cellular phones. Simulation results are shown for the traditional and subband adaptive noise canceler (SANC). An average noise reduction of 18 dB is achieved with SANC, as compared to a reduction of 6 dB with traditional ANC.<<ETX>>","PeriodicalId":270576,"journal":{"name":"Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Subband adaptive noise canceler for hands-free cellular phone applications\",\"authors\":\"S. Kuo, J. Kunduru\",\"doi\":\"10.1109/ASPAA.1993.380006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Broadband adaptive noise cancellation applications often involve adaptive filter lengths of hundreds of taps. This gives rise to high computational complexity, large misadjustment errors and slow convergence. In this paper subband processing techniques are proposed to get a better noise cancellation in hands-free cellular phones. Simulation results are shown for the traditional and subband adaptive noise canceler (SANC). An average noise reduction of 18 dB is achieved with SANC, as compared to a reduction of 6 dB with traditional ANC.<<ETX>>\",\"PeriodicalId\":270576,\"journal\":{\"name\":\"Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASPAA.1993.380006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPAA.1993.380006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Subband adaptive noise canceler for hands-free cellular phone applications
Broadband adaptive noise cancellation applications often involve adaptive filter lengths of hundreds of taps. This gives rise to high computational complexity, large misadjustment errors and slow convergence. In this paper subband processing techniques are proposed to get a better noise cancellation in hands-free cellular phones. Simulation results are shown for the traditional and subband adaptive noise canceler (SANC). An average noise reduction of 18 dB is achieved with SANC, as compared to a reduction of 6 dB with traditional ANC.<>