DocumentCode
3330873
Title
Adaptive noise cancellation using LabVIEW
Author
Dumitrescu, C.I. ; Moise, I.M. ; Soare, B. ; Dumitru, N.
Author_Institution
Dept. of Telematics & Electron. for Transp., Univ. Politeh. of Bucharest, Bucharest, Romania
fYear
2013
fDate
24-27 Oct. 2013
Firstpage
139
Lastpage
143
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.
Keywords
adaptive signal processing; least mean squares methods; signal denoising; virtual instrumentation; LMS algorithm; LabVIEW; adaptive noise cancellation; beamforming; deconvolution; equalization; graphical language; least-mean squares algorithm; medical signal analysis; noisecancellation; signal processing adaptive algorithms; Arrays; Finite impulse response filters; Least squares approximations; Signal processing algorithms; Signal to noise ratio; Vectors; Adaptive signal processing; LMS; noisecancellation;
fLanguage
English
Publisher
ieee
Conference_Titel
Design and Technology in Electronic Packaging (SIITME), 2013 IEEE 19th International Symposium for
Conference_Location
Galati
Type
conf
DOI
10.1109/SIITME.2013.6743660
Filename
6743660
Link To Document