Incorporating prior knowledge in ICA | IEEE Conference Publication | IEEE Xplore

Incorporating prior knowledge in ICA


Abstract:

We propose the modification of the cost function that is optimised by the independent component analysis (ICA) algorithm, so that prior knowledge about some statistical p...Show More

Abstract:

We propose the modification of the cost function that is optimised by the independent component analysis (ICA) algorithm, so that prior knowledge about some statistical properties of one of the components is incorporated in the optimisation process, for this component to be identified first. Once this component is removed from the recordings, the remaining components may be identified in the usual way. We demonstrate our idea using simulated data, for which the true mixing coefficients are known. We show that the incorporation of the constraint broadens the region around the true mixing values over which, if we start the algorithm, it will converge to the desired solution.
Date of Conference: 01-03 July 2002
Date Added to IEEE Xplore: 07 November 2002
Print ISBN:0-7803-7503-3
Conference Location: Santorini, Greece

References

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