GENERALIZED PHI-DIVERGENCES AND EM-ALGORITHM IN ACOUSTIC EMISSION

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

GENERALIZED PHI-DIVERGENCES AND EM-ALGORITHM IN ACOUSTIC EMISSION

Popis výsledku v původním jazyce

We deal with a simple method of construction of phi-divergences using a normalization of convex or concave functions. First we mention the well-known divergences (Kullback, Hellinger, chi^2, Power, ...) and then we introduce several of its modifications.As an example, we present generalized LeCam and Hellinger divergences. These new families of divergences open new research possibilities in the area of statistical treatment of acoustic emission sources. Further, we deal with the classification of acoustic emission signals by means of distribution mixtures (DM). The acoustic signals are separated by means of suitable parameters obtained directly from the signals and from the normed frequency spectra. The very phi-divergence distance measure is employedas the additional signal spectrum attribute. We are concerned with the efficient set of classification parameters and we test the proposed classification method for the case of laboratory data and also for the experimental design.

Název v anglickém jazyce

GENERALIZED PHI-DIVERGENCES AND EM-ALGORITHM IN ACOUSTIC EMISSION

Popis výsledku anglicky

We deal with a simple method of construction of phi-divergences using a normalization of convex or concave functions. First we mention the well-known divergences (Kullback, Hellinger, chi^2, Power, ...) and then we introduce several of its modifications.As an example, we present generalized LeCam and Hellinger divergences. These new families of divergences open new research possibilities in the area of statistical treatment of acoustic emission sources. Further, we deal with the classification of acoustic emission signals by means of distribution mixtures (DM). The acoustic signals are separated by means of suitable parameters obtained directly from the signals and from the normed frequency spectra. The very phi-divergence distance measure is employedas the additional signal spectrum attribute. We are concerned with the efficient set of classification parameters and we test the proposed classification method for the case of laboratory data and also for the experimental design.

Druh

D - Stať ve sborníku

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název statě ve sborníku

DEFEKTOSKOPIE 2010 NDE for Safety PROCEEDINGS 40th International Conference

ISBN

978-80-214-4182-8

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

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Název nakladatele

Brno University of Technology

Místo vydání

Brno

Místo konání akce

Plzeň

Datum konání akce

10. 11. 2010

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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