Statistical and Numerical Techniques of Classification of Acoustic Sources: Generalized Phi-Divergence Applications in Acoustic Emission

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F11%3A00187900" target="_blank" >RIV/68407700:21340/11:00187900 - 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
Statistical and Numerical Techniques of Classification of Acoustic Sources: Generalized Phi-Divergence Applications in Acoustic Emission
Original language description
We focus on the classification of acoustic emission signals by means of distribution mixtures (DM). The acoustic signals are separated by suitable parameters obtained directly from the signals and from the normed frequency spectra. The phi-divergence distance measures are employed as the additional signal spectrum attribute. We deal with a simple method of construction of phi-divergences and we introduce several modifications such as generalized LeCam, Hellinger, and Breigman divergences. We are concerned with the efficient set of classification parameters while testing the quality of classification. We combine both the main approaches described above, i.e. the generalized phi-divergences and the distribution mixture method. The advantage of the combined method is that it is able to assess the number of clusters of the signals and simultaneously it is robust in the sense that it ignores sparse outliers that would distort either the standard statistical estimates or classical non-statis
Czech name
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Czech description
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Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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