Simple threshold nonlinearity for blind separation of sub-Gaussian signals

Heinz Mathis, Marcel Joho, George S. Moschytz

Research output: Contribution to journalConference articlepeer-review

14 Scopus citations

Abstract

A computationally simple nonlinearity in the form of a threshold device for the blind separation of sub-Gaussian signals is derived. Convergence is shown to be robust, fast, and comparable to that of more complex polynomial nonlinearities. Together with the known signum nonlinearity for super-Gaussian distributions, which basically is a threshold device with the threshold set to zero, the general threshold nonlinearity (with an appropriate threshold) can separate any non-Gaussian signals.

Original languageEnglish
Pages (from-to)IV-489-IV-492
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume4
DOIs
StatePublished - 2000
Externally publishedYes
EventProceedings of the IEEE 2000 International Symposium on Circuits and Systems, ISCAS 2000 - Geneva, Switz, Switzerland
Duration: 28 May 200031 May 2000

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