Signal De-Noising Using Wavelet Transform and Other Methods

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03099818" target="_blank" >RIV/68407700:21230/04:03099818 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Signal De-Noising Using Wavelet Transform and Other Methods
Original language description
Using wavelet transform (WT) for increasing signal-to-noise ratio (SNR) of discrete-time signals corrupted by additive noise is explained and compared with some other techniques (averaging, frequency filtration, correlation). Signal processing for de-noising is applied to basic periodical signals and repeated transients (in non-destructive ultrasonic testing of welds, where presence of flaws should be detected). Results of both computer simulations and measurements are reported, and some best suitable wavelets, levels of signal decomposition and methods and parameters of thresholding are given. A new efficient method of wavelet thresholding suitable for ultrasonic flaws detection in welds testing is described as a part of practical wavelets SNR enhancement (SNRE) application, and correlation function used for the same purpose is also described.. Wavelet Toolbox of MATLAB environment is used both for computer simulations and practical signal de-noising.
Czech name
Není k dispozici
Czech description
Není k dispozici

Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
13th International Symposium on Measurements for Research and Industry Applications
ISBN
960-254-643-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
236-241
Publisher name
IMEKO TC-4
Place of publication
Athens
Event location
Athens
Event date
Sep 29, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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