Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)
Minimum Distance Index for BSS, Generalization, Interpretation and Asymptotics
Julkaisun tekijät: Niko Lietzén, Joni Virta, Klaus Nordhausen, Pauliina Ilmonen
Kustantaja: AUSTRIAN STATISTICAL SOC
Julkaisuvuosi: 2020
Journal: Austrian Journal of Statistics
Tietokannassa oleva lehden nimi: AUSTRIAN JOURNAL OF STATISTICS
Lehden akronyymi: AUST J STAT
Volyymi: 49
Julkaisunumero: 4
Aloitussivu: 57
Lopetussivun numero: 68
Sivujen määrä: 12
ISSN: 1026-597X
DOI: http://dx.doi.org/10.17713/ajs.v49i4.1130
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/47792409
We consider complex valued linear blind source separation, where the signal dimension might be smaller than the dimension of the observable data vector. In order to measure the success of the signal separation, we propose an extension of the minimum distance index and establish its properties. Interpretations for the index are derived through connections to signal-to-noise ratios and correlations. The interpretations are novel also for the real valued original case. In addition, we consider the asymptotic behavior of the extended minimum distance index. This paper is an invited extended version of the paper presented at the CDAM 2019 conference.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
