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Minimum distance index for complex valued ICA

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  • Lietzén, Niko
  • Nordhausen, Klaus
  • Ilmonen, Pauliina

Abstract

We generalize the Minimum Distance (MD) index to be applicable in complex valued ICA. To illustrate the use of the MD index, we present a complex version of AMUSE and compare it to complex FOBI in a simulation study.

Suggested Citation

  • Lietzén, Niko & Nordhausen, Klaus & Ilmonen, Pauliina, 2016. "Minimum distance index for complex valued ICA," Statistics & Probability Letters, Elsevier, vol. 118(C), pages 100-106.
    • Handle: RePEc:eee:stapro:v:118:y:2016:i:c:p:100-106
    DOI: 10.1016/j.spl.2016.06.019
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    References listed on IDEAS

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    1. Miettinen, Jari & Nordhausen, Klaus & Oja, Hannu & Taskinen, Sara, 2012. "Statistical properties of a blind source separation estimator for stationary time series," Statistics & Probability Letters, Elsevier, vol. 82(11), pages 1865-1873.
    2. Ilmonen, Pauliina, 2013. "On asymptotic properties of the scatter matrix based estimates for complex valued independent component analysis," Statistics & Probability Letters, Elsevier, vol. 83(4), pages 1219-1226.
    3. Ollila, Esa & Oja, Hannu & Koivunen, Visa, 2008. "Complex-valued ICA based on a pair of generalized covariance matrices," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3789-3805, March.
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