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 a...

Full description

Saved in:
Bibliographic Details
Published in2009 2nd International Congress on Image and Signal Processing pp. 1 - 4
Main Authors Bingsheng Wu, Chaozhi Cai
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Data engineering
Educational institutions
Filtering
Mechanical engineering
Noise reduction
Signal analysis
Signal processing
Testing
Wavelet analysis
Wavelet domain
Online AccessGet full text
ISBN1424441293
9781424441297
DOI10.1109/CISP.2009.5301284

Cover

More Information
Summary: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.
ISBN:1424441293
9781424441297
DOI:10.1109/CISP.2009.5301284