Feature generation for seismic and acoustic signals based on Hilbert-Huang transform

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.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.format4 s.cs
dc.format.mimetypeapplication/pdf
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.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.rights.accessopenAccessen
dc.subjectfunkce vektorcs
dc.subjectHilbert-Huangova transformacecs
dc.subjectseismické a akustické signálycs
dc.subject.translatedfeature generationen
dc.subject.translatedfeature vectoren
dc.subject.translatedHilbert-Huang transformen
dc.subject.translatedseismic and acoustic signalsen
dc.titleFeature generation for seismic and acoustic signals based on Hilbert-Huang transformen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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