Nonlinear PCA type approaches for source separation and independent component analysis
- 19 November 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 995-1000
- https://doi.org/10.1109/icnn.1995.487556
Abstract
In this paper, we study the application of some nonlinear neural PCA type approaches to theseparation of independent source signals from their linear mixture. This problem is importantin signal processing and communications, and it cannot be solved using standard PCA. Usingprewhitening and appropriate choice of nonlinearities, several algorithms proposed by us yieldgood separation results for sub-Gaussian (or super-Gaussian) source signals. We discuss therelated problem of estimating...Keywords
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