2006
DOI: 10.1007/s00034-005-0427-x
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Blind Unitary Prewhitening with a Real-Valued Eigendecomposition

Abstract: Abstract. Prewhitening is a standard step for the processing of noisy signals. Typically, eigenvalue decomposition (EVD) of the sample data covariance matrix is used to calculate the whitening matrix. From a computational point of view, an important problem here is to reduce the complexity of the EVD of the complex-valued sample data covariance matrix. In this paper, we show that the computational complexity of the prewhitening step for complex-valued signals can be reduced approximately by a factor of four wh… Show more

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