K
Klaus Nordhausen
Researcher at Vienna University of Technology
Publications - 149
Citations - 6769
Klaus Nordhausen is an academic researcher from Vienna University of Technology. The author has contributed to research in topics: Independent component analysis & Blind signal separation. The author has an hindex of 26, co-authored 138 publications receiving 6201 citations. Previous affiliations of Klaus Nordhausen include RMIT University & University of Tampere.
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Blind source separation for non-stationary random fields
TL;DR: In this article, the authors extend the SBSS model to adjust for these stationarity violations, present three novel estimators and establish the identifiability and affine equivariance property of the unmixing matrix functionals defining these estimators.
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Numerical Considerations and a New Implementation for Invariant Coordinate Selection
TL;DR: In this paper , a pivoted QR factorization of the centered data set is proposed to avoid the direct computation of the scatter matrices and their inverse and brings numerical stability to the algorithm.
Tandem clustering with invariant coordinate selection
TL;DR: In this article , the authors proposed a new tandem clustering approach based on invariant coordinate selection (ICS) for high-dimensional data or data with noise variables, by jointly diagonalizing two scatter matrices, ICS is designed to find structure in the data while returning affine invariant components.
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Stationary subspace analysis based on second-order statistics
TL;DR: In this paper, the authors consider the stationary subspace analysis (SSA) in a more general multivariate time series setting and propose SSA methods which are able to detect nonstationarities in mean, variance and autocorrelation.