Low frequency signal classification using clustering methods

The article considers the problem of low frequency signal classification, as sound or vibration pattern footprints may describe types of objects very well. In cases of a priori absence of object signal pattern information, the unsupervised learning methods based on clustering looks good enough for c...

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Datum:2024
Hauptverfasser: Rahozin, D.V., Doroshenko, A.Yu.
Format: Artikel
Sprache:Ukrainian
Veröffentlicht: PROBLEMS IN PROGRAMMING 2024
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Online Zugang:https://pp.isofts.kiev.ua/index.php/ojs1/article/view/606
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