Faculty of Information Technology, BUT

Publication Details

Comparison of Wavelet Based Feature Extraction Methods in Classification of Emission Line Stellar Spectra

VRÁBELOVÁ Pavla. Comparison of Wavelet Based Feature Extraction Methods in Classification of Emission Line Stellar Spectra. In: Proceedings of the 20th Conference STUDENT EEICT 2014. Volume 3. Brno: Brno University of Technology, 2014, pp. 254-258. ISBN 978-80-214-4924-4.
Czech title
Porovnání vlnkových metod extrakce rysů na klasifikaci spekter emisních čar hvězd
Type
conference paper
Language
english
Authors
Vrábelová Pavla, Ing. (DIFS FIT BUT)
Keywords
Be star, stellar spectrum, emission line, feature extraction, wavelet transform, classification, support vector machines, SVM
Abstract
The paper compares different wavelet transforms, wavelets, and statistical metrics in attempt to find the best feature extraction method for classification of Be star spectra using support vector machines (SVM).
Published
2014
Pages
254-258
Proceedings
Proceedings of the 20th Conference STUDENT EEICT 2014
Series
Volume 3
Conference
Student EEICT 2014, Brno, CZ
ISBN
978-80-214-4924-4
Publisher
Brno University of Technology
Place
Brno, CZ
BibTeX
@INPROCEEDINGS{FITPUB10552,
   author = "Pavla Vr\'{a}belov\'{a}",
   title = "Comparison of Wavelet Based Feature Extraction Methods in Classification of Emission Line Stellar Spectra",
   pages = "254--258",
   booktitle = "Proceedings of the 20th Conference STUDENT EEICT 2014",
   series = "Volume 3",
   year = 2014,
   location = "Brno, CZ",
   publisher = "Brno University of Technology",
   ISBN = "978-80-214-4924-4",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10552"
}
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