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
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;
Conference_Titel :
Design and Technology in Electronic Packaging (SIITME), 2013 IEEE 19th International Symposium for
Conference_Location :
Galati
DOI :
10.1109/SIITME.2013.6743660
