Result Details

Stellar Spectra Classification Using Wavelet Power Spectrum

VRÁBELOVÁ, P. Stellar Spectra Classification Using Wavelet Power Spectrum. Proceedings of the 18th Conference STUDENT EEICT 2012. Vol. 3. Brno: Brno University of Technology, 2012. p. 366-370. ISBN: 978-80-214-4462-1.
Type
conference paper
Language
English
Authors
Vrábelová Pavla, Ing., DIFS (FIT)
Annotation
This paper analyses the capabilities of using wavelet power spectrum for classification of spectra of Be stars. We propose a method of using the wavelet power spectrum as a feature vector and apply it to clustering of artificial spectra. The method is compared with a traditional approach of feature extraction and the results of our method are significantly better.
Published
2012
Pages
366–370
Proceedings
Proceedings of the 18th Conference STUDENT EEICT 2012
Series
Vol. 3
Conference
Student EEICT 2012
ISBN
978-80-214-4462-1
Publisher
Brno University of Technology
Place
Brno
BibTeX 
@inproceedings{BUT192804,
  author="Pavla {Vrábelová}",
  title="Stellar Spectra Classification Using Wavelet Power Spectrum",
  booktitle="Proceedings of the 18th Conference STUDENT EEICT 2012",
  year="2012",
  series="Vol. 3",
  pages="366--370",
  publisher="Brno University of Technology",
  address="Brno",
  isbn="978-80-214-4462-1",
  url="https://www.fit.vut.cz/research/publication/9926/"
}
Files
Projects
Advanced recognition and presentation of multimedia data, BUT, Vnitřní projekty VUT, FIT-S-11-2, start: 2011-01-01, end: 2013-12-31, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Research groups
Information and Database Systems Research Group (RG IS)
Departments
Department of Information Systems (DIFS)
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