Signal Detection, Separation & Classification under Random Noise Background

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F12%3A00199070" target="_blank" >RIV/68407700:21340/12:00199070 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/BEC.2012.6376873" target="_blank" >http://dx.doi.org/10.1109/BEC.2012.6376873</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/BEC.2012.6376873" target="_blank" >10.1109/BEC.2012.6376873</a>

Result language
angličtina
Original language name
Signal Detection, Separation & Classification under Random Noise Background
Original language description
We measured acoustic emission signals by means of Xedo-5 measuring device with the piezo-ceramic sensors. Subsequently we deal with the classification of acoustic emission random signals through model-based statistical clustering. The signals are compared by means of newly introduced attributes obtained directly from the signals and fromnormed frequency spectra such as phi-divergence distance measure originated from information theory and statistics (Hellinger divergence). We realize acoustic emission experiment to test the proposed classification attributes and further we perform a computer simulation study in order to find out the robustness and sensitivity of the corresponding signal classification techniques which can be applied to any other physical separation tasks such as particle collisions in high energy accelerator physics.
Czech name
—
Czech description
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Project
<a href="/en/project/LG12020" target="_blank" >LG12020: Advanced statistical analysis and non-statistical separation techniques for physical processing detection in data sets sampled by means of elementary particle accelerators.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Electronics Conference (BEC), 2012 13th Biennial Baltic
ISBN
978-1-4673-2774-9
ISSN
1736-3705
e-ISSN
—
Number of pages
4
Pages from-to
287-290
Publisher name
IEEE
Place of publication
New Jersey
Event location
Tallinn
Event date
Oct 3, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

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