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Proceedings ArticleDOI

Wavelet Denoising and Its Implementation in LabVIEW

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TLDR
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.
Abstract
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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Citations
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Journal ArticleDOI

A Noise-Insensitive Semi-Active Air Suspension for Heavy-Duty Vehicles with an Integrated Fuzzy-Wheelbase Preview Control

TL;DR: In this paper, a fuzzy-wheelbase preview controller with wavelet denoising filter (FPW) is developed for semi-active air suspension system, which can generate a noise-insensitive control damping force.
Journal ArticleDOI

The Discrete Wavelet Transform and Its Application for Noise Removal in Localized Corrosion Measurements

TL;DR: In this paper, the authors discussed the problem of induced external electrical noise as well as its removal from the electrical potential obtained from Scanning Vibrating Electrode Technique (SVET) in the pitting corrosion process of aluminum alloy A96061 in 35% NaCl.
Proceedings ArticleDOI

Fringe analysis software: Application to velocity measurement in dynamic compression experiment

TL;DR: In this article, a robust fringe analysis software for complete time history of free surface velocity measurement from recorded fringe signals has been developed and validated by analyzing the plate impact experimental data of Al-2024T4 material and good agreement was obtained between analysis result of experimental data and published data.
Proceedings ArticleDOI

An online detection system for inter-turn short circuit faults in dry-type air-core reactor based on LabVIEW

TL;DR: A new online detection system for dry-type air-core reactor is built to inspect inter-turn short circuit faults and a new fault detection method is discussed to verify the effectiveness of the proposed system.

Image Denoising Based On Wavelet for Satellite Imagery: A Review

TL;DR: In this paper, the use of wavelet and their family to denoising images is discussed. But, the work is limited to remote sensing images and it is not suitable for use in the field of RS and GIS.
References
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Journal ArticleDOI

A theory for multiresolution signal decomposition: the wavelet representation

TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
Journal ArticleDOI

De-noising by soft-thresholding

TL;DR: The authors prove two results about this type of estimator that are unprecedented in several ways: with high probability f/spl circ/*/sub n/ is at least as smooth as f, in any of a wide variety of smoothness measures.
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How do you do wavelet analysis in R?

Wavelet methods using denoising is an important aspect of wavelet analysis applied to the actual.