Adaptive noise cancellation using LabVIEW

2013 IEEE 19th International Symposium for Design and Technology in Electronic Packaging (SIITME) Pub Date : 2013-10-01 DOI:10.1109/SIITME.2013.6743660

C. Dumitrescu, I. Moise, B. Soare, N. Dumitru

引用次数: 3

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.

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使用LabVIEW进行自适应噪声消除

本文介绍了用图形化语言LabVIEW实现最小均二乘(LMS)算法。LMS算法是目前绝大多数信号处理自适应算法的基础，包括噪声消除、波束形成、反卷积、均衡和医疗信号分析。结果表明，LabVIEW是实现这类算法的一种方便而强大的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2013 IEEE 19th International Symposium for Design and Technology in Electronic Packaging (SIITME)

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