Název:	Feature generation for seismic and acoustic signals based on Hilbert-Huang transform
Autoři:	Berešík, Roman Puttera, Jozef Jurčo, Jozef
Citace zdrojového dokumentu:	2017 International Conference on Applied Electronics: Pilsen, 5th – 6th September 2017, Czech Republic, p.19-22.
Datum vydání:	2017
Nakladatel:	Západočeská univerzita v Plzni
Typ dokumentu:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/35401
ISBN:	978–80–261–0641–8 (Print) 978–80–261–0642–5 (Online)
ISSN:	1803–7232 (Print) 1805–9597 (Online)
Klíčová slova:	funkce vektor;Hilbert-Huangova transformace;seismické a akustické signály
Klíčová slova v dalším jazyce:	feature generation;feature vector;Hilbert-Huang transform;seismic and acoustic signals
Abstrakt v dalším jazyce:	The 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.
Práva:	© Západočeská univerzita v Plzni
Vyskytuje se v kolekcích:	Applied Electronics 2017 Applied Electronics 2017

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