SVD Algorithm in the Application of the MIMO System Model Order Reduction
Journal of Harbin University of Science and Technology, 2017 For linear time invariant high-order system calculation and analysis model is difficult to directly，so we need to study on reduction of the model According to the basic theory of model order reduction Lyapunov equation model order solution to linear time
LU Fang-ming, ZHOU Lin
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Synthesis of Sparse Linear Arrays via Low-Rank Hankel Matrix Completion [PDF]
, 2022 Xuejing Zhang
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Parametric Study of Stochastic Subspace Algorithms in Modal Analysis of Moment‐Resistant Frames [PDF]
Numerical Methods in Civil EngineeringThe Finite Element Model (FEM) derived from the design drawings may not precisely depict the behavior of the actual structure. This is due to various factors, such as construction variations, uncertainties in boundary conditions, discrepancies in ...
Mehran Pourgholi, Saied Mahdavi
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RIS-Based DOA Estimation for Communication-Assisted Sensing Systems Under Hardware Impairments
IEEE Open Journal of Vehicular TechnologyReconfigurable intelligent surface (RIS)-based localization has received significant attention in wireless communication systems due to its potential for enabling non-line-of-sight (NLoS) wireless sensing.
Xue Zhang +2 more
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Linear prediction of stationary vector sequences [PDF]
The class of all linear predictors of minimal order for a stationary vector-valued process is specified in terms of linear transformations on the associated Hankel covariance matrix.
Baram, Yoram
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Correction to: Fractionalization of a Discrete Hankel Transform Based on an Involutory Symmetric Kernel Matrix [PDF]
, 2022 Magdy Tawfik Hanna
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An note on the maximization of matrix valued Hankel determinants with application [PDF]
In this note we consider the problem of maximizing the determinant of moment matrices of matrix measures. The maximizing matrix measure can be characterized explicitly by having equal (matrix valued) weights at the zeros of classical (one dimensional ...
Dette, Holger, Studden, W. J.
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MATEC Web of Conferences, 2018 A method of super resolution DOA estimation with incomplete single snapshot data via matrix completion (MC) and compress sensing (CS) is presented. First, the incomplete single snapshot data is reshaped into a low-rank Hankel matrix form and the complete
Zhang Dong +4 more
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Vandermonde factorizations of a regular Hankel matrix and their application on the computation of Bézier curves [PDF]
, 2010 Licio H. Bezerra
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Bootstrap Statistical Tests of Rank Determination for System Identification [PDF]
Identification in the context of multivariate state space modelling involves the specification of the dimension of the state vector. One identification approach requires an estimate of the rank of a Hankel matrix.
George Kapetanios, Gonzalo Camba-Mendez
core