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Showing 1 to 6 of 6 for “"Hankel-matrix"”.
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Real-Time Detection of GPS Spoofing Attack with Hankel Matrix and Unwrapped Phase Angle Data
… researchers exploited low-rank approximation of Hankel Matrix to differentiate between FDIA and physical events. We have demonstrated that, together with angle unwrapping algorithm, low-rank approximation of Hankel Matrix can help us separating GPS-spoofing attack with FDIA. The proposed method …
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Separability between signal and noise components using the distribution of scaled Hankel matrix eigenvalues with application in biomedical signals.
… the distribution of the eigenvalues of a scaled Hankel matrix, and on dynamical systems, embedding theorem, matrix algebra and statistical theory. The research demonstrates that the proposed approach can be considered as an alternative and promising technique for choosing the optimal values of r …
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Assessment of Cyber Vulnerabilities and Countermeasures for GPS-Time Synchronized Measurements in Smart Grids
… part of this dissertation is the enhancement of Hankel-matrix based bad data detection model. The existing general Hankel-matrix based bad data detection model provide satisfactory performance. However, it fails in differentiating GPS-spoofing attack from FDIA. We propose an enhanced phase angle …
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Towards a behavioral approach to linear approximate modeling
… level, is addressed. The concept of the block Hankel matrix, constructed from the data measurements, is then introduced, and it is shown that the optimal Hankel-norm approximation theory provides the main tool for a partial solution of the above problem.
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Strategies for Sparsity-based Time-Frequency Analyses
… to the time or lag is converted to a Hankel matrix, and its missing entries are recovered via atomic norm minimization. The second method generalizes this approach to reduce the effects of TF crossterms. It considers an IAF patch, which is reformulated as a low-rank block Hankel …
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Model and Data Reduction for Control, Identification and Compressed Sensing
… for practitioners, and is a first step towards a matrix free approach to solve AREs. Numerical examples for n >= 100,000 unknowns are presented. In Chapter 4, we develop a system identification method which is motivated by tangential interpolation. This addresses the challenge of fitting linear …