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02/17/2023
On automated identification in singular spectrum analysis for different types of objects
Approaches to automated grouping in singular spectrum analysis are consi...
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06/27/2021
Fast and stable modification of the Gauss-Newton method for low-rank signal estimation
The weighted nonlinear least-squares problem for low-rank signal estimat...
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01/24/2021
Low-rank signal subspace: parameterization, projection and signal estimation
The paper contains several theoretical results related to the weighted n...
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09/16/2019
Blind deconvolution of covariance matrix inverses for autoregressive processes
Matrix C can be blindly deconvoluted if there exist matrices A and B suc...
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07/04/2019
Particularities and commonalities of singular spectrum analysis as a method of time series analysis and signal processing
Singular spectrum analysis (SSA), starting from the second half of XX ce...
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03/04/2019