{"title":"使用LabVIEW进行自适应噪声消除","authors":"C. Dumitrescu, I. Moise, B. Soare, N. Dumitru","doi":"10.1109/SIITME.2013.6743660","DOIUrl":null,"url":null,"abstract":"This paper presents the implementation of a Least-mean squares (LMS) algorithm using the graphical language LabVIEW. The LMS algorithm underpins the vast majority of current signal processing adaptive algorithms including noisecancellation, beamforming, deconvolution, equalization and medical signal analysis. From the results obtained, it will be shown that LabVIEW is a convenient and powerful method of implementing such algorithms.","PeriodicalId":267846,"journal":{"name":"2013 IEEE 19th International Symposium for Design and Technology in Electronic Packaging (SIITME)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Adaptive noise cancellation using LabVIEW\",\"authors\":\"C. Dumitrescu, I. Moise, B. Soare, N. Dumitru\",\"doi\":\"10.1109/SIITME.2013.6743660\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the implementation of a Least-mean squares (LMS) algorithm using the graphical language LabVIEW. The LMS algorithm underpins the vast majority of current signal processing adaptive algorithms including noisecancellation, beamforming, deconvolution, equalization and medical signal analysis. From the results obtained, it will be shown that LabVIEW is a convenient and powerful method of implementing such algorithms.\",\"PeriodicalId\":267846,\"journal\":{\"name\":\"2013 IEEE 19th International Symposium for Design and Technology in Electronic Packaging (SIITME)\",\"volume\":\"175 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 19th International Symposium for Design and Technology in Electronic Packaging (SIITME)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIITME.2013.6743660\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 19th International Symposium for Design and Technology in Electronic Packaging (SIITME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIITME.2013.6743660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents the implementation of a Least-mean squares (LMS) algorithm using the graphical language LabVIEW. The LMS algorithm underpins the vast majority of current signal processing adaptive algorithms including noisecancellation, beamforming, deconvolution, equalization and medical signal analysis. From the results obtained, it will be shown that LabVIEW is a convenient and powerful method of implementing such algorithms.
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