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Iterative algorithms for weighted and unweighted finite-rank time-series approximations
The problem of time series approximation by series of finite rank is considered from the viewpoint of signal extraction. For signal estimation, a weighted least-squares method is applied to theExpand
Modified Gauss-Newton method in low-rank signal estimation
The paper is devoted to the solution of a weighted non-linear least-squares problem for low-rank signal estimation, which is related Hankel structured low-rank approximation problems. The solution isExpand
Plastic deformation of compressible ground
Low-rank signal subspace: parameterization, projection and signal estimation
TLDR
The paper contains several theoretical results related to the weighted nonlinear least-squares problem for low-rank signal estimation, which can be considered as a Hankel structuredlow-rank approximation problem. Expand
Image space projection for low-rank signal estimation: Modified Gauss-Newton method
TLDR
The paper is devoted to the solution of a weighted nonlinear least squares problem for low-rank signal estimation, which is related to Hankel structuredlow-rank approximation problems. Expand