Generalized Matched Subspace Filter for Nonindependent Noise Based on ICA

Abstract

We propose a generalization of the matched subspace filter for the detection of unknown signals in a background of non-Gaussian and nonindependent noise. The generalization is based on a modification of the Rao test by including a linear transformation derived from independent component analysis (ICA). Receiver operating characteristic (ROC) curves computed… (More)
DOI: 10.1109/TSP.2011.2141668

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