Full metadata record
DC poleHodnotaJazyk
dc.contributor.authorBerešík, Roman
dc.contributor.authorPuttera, Jozef
dc.contributor.authorJurčo, Jozef
dc.contributor.editorPinker, Jiří
dc.date.accessioned2019-10-15T08:25:02Z
dc.date.available2019-10-15T08:25:02Z
dc.date.issued2017
dc.identifier.citation2017 International Conference on Applied Electronics: Pilsen, 5th – 6th September 2017, Czech Republic, p.19-22.en
dc.identifier.isbn978–80–261–0641–8 (Print)
dc.identifier.isbn978–80–261–0642–5 (Online)
dc.identifier.issn1803–7232 (Print)
dc.identifier.issn1805–9597 (Online)
dc.identifier.urihttp://hdl.handle.net/11025/35401
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.subjectfunkce vektorcs
dc.subjectHilbert-Huangova transformacecs
dc.subjectseismické a akustické signálycs
dc.titleFeature generation for seismic and acoustic signals based on Hilbert-Huang transformen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe successful detection and classification of events require using signal processing algorithms suitable for analysis of nonlinear and nonstationary signals like seismic and acoustic ones. A key point of the signal classification is to generate the feature vector by the means whose signals can be characterized and differentiated from another classes of signals. Some characteristics of seismic and acoustic signals can be described in the frequency and time-frequency domain by using adaptive signal processing methods like the Hilbert-Huang transform. The paper presents results of seismic and acoustic signal processing in the process of feature vector generation by detection of significant frequency components in the energy density spectrum of Hilbert-Huang transform.en
dc.subject.translatedfeature generationen
dc.subject.translatedfeature vectoren
dc.subject.translatedHilbert-Huang transformen
dc.subject.translatedseismic and acoustic signalsen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Applied Electronics 2017
Applied Electronics 2017

Soubory připojené k záznamu:
Soubor Popis VelikostFormát 
Berešík.pdfPlný text1,99 MBAdobe PDFZobrazit/otevřít


Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/35401

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.