Feature extraction using wavelet power spectrum for stellar spectra clustering

Number of the records: 1

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SYSNO ASEP	0424255
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Feature extraction using wavelet power spectrum for stellar spectra clustering
Author(s)	Škoda, Petr (ASU-R)_{RID, ORCID} Bromová, P. (CZ) Zendulka, J. (CZ)
Source Title	Datakon : Znalosti 2012. - Praha : Matfyzpress, 2012 - ISBN 9788073782207
Pages	s. 31-40
Number of pages	10 s.
Publication form	Print - P
Action	Znalosti 2012
Event date	14.10.2012-16.10.2012
VEvent location	Mikulov
Country	CZ - Czech Republic
Event type	EUR
Language	eng - English
Country	CZ - Czech Republic
Keywords	Be star ; stellar spectrum ; feature extraction
Subject RIV	BN - Astronomy, Celestial Mechanics, Astrophysics
Institutional support	ASU-R - RVO:67985815
Annotation	This paper analyses the capabilities of using wavelet power spectrum for clustering of Be-type stars spectra. We propose a method using discrete wavelet transform for feature extraction and the wavelet power spectrum as a feature vector.
Workplace	Astronomical Institute
Contact	Radka Svašková, bibl@asu.cas.cz, Tel.: 323 620 326
Year of Publishing	2014

Number of the records: 1