Independent component analysis by complex nonlinearities

Tülay Adali, Taehwan Kim, Vince Calhoun

Research output: Contribution to journalConference articlepeer-review

49 Scopus citations


A number of complex nonlinear functions are proposed for the independent component analysis (ICA) of complex-valued data. We discuss the properties of these nonlinearities and show their efficiency in generating the higher order statistics needed for ICA.

Original languageEnglish (US)
Pages (from-to)V-525-V-528
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - 2004
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: May 17 2004May 21 2004

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


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