Comparison of Cascade and Concurrent Signal Denoising Methods

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00183500" target="_blank" >RIV/68407700:21230/12:00183500 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of Cascade and Concurrent Signal Denoising Methods

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~approachesto ultrasonic signal filtering proposed in this paper are based on wavelet denoising combined with other denoising algorithms. The~denoising algorithms are combined with a~knowledge ultrasonic echo detection and system frequency characteristics. The~compared methods were evaluated on signals measured with EMAT probes and under various Signal-to-Noise Ratio (SNR) conditions, and they~outperform the~wavelet transform with the~UNIVERSAL threshold estimation method.

Název v anglickém jazyce

Comparison of Cascade and Concurrent Signal Denoising Methods

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~approachesto ultrasonic signal filtering proposed in this paper are based on wavelet denoising combined with other denoising algorithms. The~denoising algorithms are combined with a~knowledge ultrasonic echo detection and system frequency characteristics. The~compared methods were evaluated on signals measured with EMAT probes and under various Signal-to-Noise Ratio (SNR) conditions, and they~outperform the~wavelet transform with the~UNIVERSAL threshold estimation method.

Druh

D - Stať ve sborníku

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

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

2011 IEEE International Ultrasonics Symposium (IUS)

ISBN

978-1-4577-1252-4

ISSN

1948-5719

e-ISSN

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Počet stran výsledku

4

Strana od-do

516-519

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Orlando

Datum konání akce

18. 10. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000309918400122