Solving Hankel matrix approximation problem using semidefinite programming
The author studies the problem of finding the nearest matrix to a positive semidefinite Hankel matrix in such a way that all the special properties are preserved. In the usual evaluation techniques rounding and truncation limitations result in some of the properties to be lost.
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An explicit formula for the inverse of a factorial Hankel matrix [PDF]
Karen Habermann
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Short-term voltage stability (STVS) prediction is a critical technology for modern power systems with high penetration of renewable energy resources. To address the limitations of the traditional maximum Lyapunov exponent (MLE) in handling short-time ...
Han Gao +3 more
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Hankel Matrix Rank as Indicator of Ghost in Bearing-only Tracking. [PDF]
Bekiroglu K +3 more
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Clutter Elimination and Random-Noise Denoising of GPR Signals Using an SVD Method Based on the Hankel Matrix in the Local Frequency Domain. [PDF]
Bi W, Zhao Y, An C, Hu S.
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Singular Values of Hankel Matrix: Implication to the Convergence of Hankel Dynamic Mode Decomposition [PDF]
Yicun Zhen +3 more
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Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction. [PDF]
Cai JF, Qu X, Xu W, Ye GB.
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Single-Snapshot DOA Estimation via Weighted Hankel-Structured Matrix Completion [PDF]
Mohammad Hadi Bokaei +3 more
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A Hankel matrix acting on Hardy and Bergman spaces [PDF]
Πέτρος Γαλανόπουλος +1 more
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Tensor-Based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations [PDF]
Evgeny Frolov, Ivan Oseledets
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