小波去噪及其在LabVIEW中的实现

Bingsheng Wu, C. Cai
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引用次数: 10

摘要

在信号测试过程中,经常会受到各种噪声信号的干扰和影响,如数据的采集和传输等都可能引入噪声。所以在实际应用中,在对测量数据进行分析之前,需要进行去噪处理。目前,主要有两种去噪方法,传统的滤波方法和小波去噪方法,在实际测试时,不同的噪声和信号配合选用不同的去噪方法。小波方法中的去噪是小波分析应用于实际的一个重要方面。本文介绍了几种常用的小波去噪方法的原理,并在虚拟仪器开发软件LabVIEW中实现了基于阈值的小波去噪方法。最后,将小波去噪与传统FFT去噪进行了比较,验证了小波去噪的优越性。Keyword-wavelet去噪;虚拟仪器;FFT
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wavelet Denoising and Its Implementation in LabVIEW
In the process of signal testing, often exposed to interference and influence of all kinds of noise signal, such as data collection and transmission and so may introduce noise. So in practical applications, before analysis of the data measured, the need for de-noising processing. At present, there are two de-noising methods, the traditional Filtering method and the wavelet denoising method, when in the actual test, different noise and signal with the choice of different denoising methods. Wavelet methods using denoising is an important aspect of wavelet analysis applied to the actual. This article described several commonly used principles of wavelet denoising methods, and achieved wavelet denoising method based on threshold in the LabVIEW Which is a develop software of virtual instrument. Finally, compared to the wavelet denoising and traditional FFT denoising, and verified the superiority of the wavelet denoising. Keyword-wavelet denoising; LabVIEW; FFT
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