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This paper proposes a frequency domain approach to test the hypothesis that a stationary complex-valued vector time series is proper, i.e., for testing whether the vector time series is uncorrelated with its complex conjugate. If the hypothesis is rejected, frequency bands causing the rejection will be identified and might usefully be related to known properties of the physical processes. The test...
Quantitative exploration is gaining in importance for the analysis of the digitized medieval manuscripts. While codicologists can collect such massive amounts of heterogeneous datasets digitized in high-resolution, they still lack efficient and intuitive means to explore data and answer domain-specific research questions. A new approach is needed to enable codicologists with the quantitative exploration...
The desire to improve short-term predictions of wind speed and direction has motivated the development of a spatial covariance-based predictor in a complex valued multichannel structure. Wind speed and direction are modelled as the magnitude and phase of complex time series and measurements from multiple geographic locations are embedded in a complex vector which is then used as input to a multichannel...
Blind source separation for underdetermined reverberant mixtures is often achieved by assuming a statistical model for cues of interest where the unknown parameters of the statistical model depend on hidden variables. Here, the expectation-maximization (EM) algorithm is employed to compute maximum-likelihood estimates of the unknown model parameters. A by-product of the EM algorithm is a time-frequency...
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