Feature selection in SUMER spatial spectra using wavelet decomposition and ICA

Details Feature selection in SUMER spatial spectra using wavelet decomposition and ICA Feature selection in SUMER spatial spectra using wavelet decomposition and ICA

Dec 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aipc.1082..302s&link_type=abstract

CLASSIFICATION AND DISCOVERY IN LARGE ASTRONOMICAL SURVEYS: Proceedings of the International Conference: ``Classification and Di

Computer Science

Databases

1

Luminosities, Magnitudes, Effective Temperatures, Colors, And Spectral Classification, Time Series Analysis, Time Variability, Astronomical Catalogs, Atlases, Sky Surveys, Databases, Retrieval Systems, Archives, Etc.

Scientific paper

Here we briefly describe the techniques taken from multivariate statistics and data mining, used for the characterization of the solar spatial spectra in the database of observations taken with the SUMER instrument onboard SOHO. In particular, we describe the combination of wavelet decomposition and Independent Component Analysis in the separation of the active and quiet components.

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