Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
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Spatial Blind Source Separation in the Presence of a Drift
Muehlmann, Christoph; Filzmoser, Peter; Nordhausen, Klaus (Austrian Statistical Society, 2024)Multivariate measurements taken at different spatial locations occur frequently in practice. Proper analysis of such data needs to consider not only dependencies on-sight but also dependencies in and in-between variables ... -
Robust second-order stationary spatial blind source separation using generalized sign matrices
Sipilä, Mika; Muehlmann, Christoph; Nordhausen, Klaus; Taskinen, Sara (Elsevier, 2024)Consider a spatial blind source separation model in which the observed multivariate spatial data are assumed to be a linear mixture of latent stationary spatially uncorrelated random fields. The objective is to recover an ... -
Nonlinear blind source separation exploiting spatial nonstationarity
Sipilä, Mika; Nordhausen, Klaus; Taskinen, Sara (Elsevier, 2024)In spatial blind source separation the observed multivariate random fields are assumed to be mixtures of latent spatially dependent random fields. The objective is to recover latent random fields by estimating the unmixing ... -
Signal dimension estimation in BSS models with serial dependence
Nordhausen, Klaus; Taskinen, Sara; Virta, Joni (IEEE, 2022)Many modern multivariate time series datasets contain a large amount of noise, and the first step of the data analysis is to separate the noise channels from the signals of interest. A crucial part of this dimension reduction ... -
Blind source separation for non-stationary random fields
Muehlmann, Christoph; Bachoc, François; Nordhausen, Klaus (Elsevier, 2022)Regional data analysis is concerned with the analysis and modeling of measurements that are spatially separated by specifically accounting for typical features of such data. Namely, measurements in close proximity tend to ...
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