Non-parametric likelihood based channel estimator for Gaussian mixture noise

Abstract

Extensive work to develop and optimise signal processing for signals that are corrupted by additive Gaussian noise has been done so far mainly because of the central limit theorem and the ease in analytic manipulations. It has been observed that the algorithms designed for Gaussian noise typically perform poor in presence of Gaussian mixture (non-Gaussian… (More)
DOI: 10.1016/j.sigpro.2007.04.006

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