EMAT Noise Suppression Using Information Fusion in Stationary Wavelet Packets

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00171162" target="_blank" >RIV/68407700:21230/11:00171162 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5776757" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5776757</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TUFFC.2011.1903" target="_blank" >10.1109/TUFFC.2011.1903</a>

Jazyk výsledku

angličtina

Název v původním jazyce

EMAT Noise Suppression Using Information Fusion in Stationary Wavelet Packets

Popis výsledku v původním jazyce

An important issue in ultrasonic nondestructive testing is the~detection of flaw echoes in the presence of background noise created by instrumentation and by clutter noise. Signal averaging, autoregressive analysis, spectrum analysis, matched filtering and the~wavelet transform have all been used to filter noise in~ultrasonic signals. Widely-used wavelet threshold estimation algorithms are not designed for EMAT pulse-echo signals, and therefore do not exploit their unique impulse nature. The~approach toultrasonic signal filtering proposed in this paper is based on stationary wavelet packet denoising with a~threshold influenced by several information sources: a~statistical echo detection, the~amplitude distribution of the~wavelet transform coefficients, and apriori known system frequency characteristics.

Název v anglickém jazyce

EMAT Noise Suppression Using Information Fusion in Stationary Wavelet Packets

Popis výsledku anglicky

An important issue in ultrasonic nondestructive testing is the~detection of flaw echoes in the presence of background noise created by instrumentation and by clutter noise. Signal averaging, autoregressive analysis, spectrum analysis, matched filtering and the~wavelet transform have all been used to filter noise in~ultrasonic signals. Widely-used wavelet threshold estimation algorithms are not designed for EMAT pulse-echo signals, and therefore do not exploit their unique impulse nature. The~approach toultrasonic signal filtering proposed in this paper is based on stationary wavelet packet denoising with a~threshold influenced by several information sources: a~statistical echo detection, the~amplitude distribution of the~wavelet transform coefficients, and apriori known system frequency characteristics.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

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Projekt

<a href="/cs/project/GD102%2F09%2FH082" target="_blank" >GD102/09/H082: Senzory a inteligentní senzorové systémy</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (UFFC)

ISSN

0885-3010

e-ISSN

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Svazek periodika

58

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

1027-1037

Kód UT WoS článku

000291046000015

EID výsledku v databázi Scopus

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