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Conditions for convergence of the fundamental matrix of linear time-invariant time-delayed singular systems
Published 2002-01-01“…Throughout the main part of the paper, an attempt has been made to derive conditions for convergence of the fundamental matrix of linear time-invariant time-delayed singular systems. …”
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Random matrix universality in dynamical correlation functions at late times
Published 2025-08-01“…We study the behaviour of two-time correlation functions at late times for finite system sizes considering observables whose (one-point) average value does not depend on energy. …”
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The Solutions of Second-Order Linear Matrix Equations on Time Scales
Published 2013-01-01“…This paper studies the solutions of second-order linear matrix equations on time scales. Firstly, the necessary and sufficient conditions for the existence of a solution of characteristic equation are introduced; then two diverse solutions of characteristic equation are applied to express general solution of the matrix equations on time scales.…”
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Histopathological analysis of duragen collagen matrix over time in humans
Published 2025-04-01“…Histopathologically, implanted collagen matrix, erythrocyte infiltration, and fibrin layer decreased over time, whereas fibroblasts and endogenous collagen increased. …”
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Log File Times as Indicators of Structured Figural Matrix Processing
Published 2025-05-01“…The goal of this article was to integrate these two lines of research by analyzing log files from a computer-based assessment (<i>N</i> = 198) to examine the role of three ToT sub-components: onset times (before engaging with the first matrix rule), interrule times (between the rules), and intrarule times (within a single rule). …”
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Systems of Ordinary Differential Equations with Time Dependent Coefficient Matrix.
Published 2024Subjects: Get full text
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Real-Time Speech Extraction Based on Rank-Constrained Spatial Covariance Matrix Estimation and Spatially Regularized Independent Low-Rank Matrix Analysis With Fast Demixing Matrix Estimation
Published 2025-01-01Subjects: “…Independent low-rank matrix analysis…”
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Time-Frequency Analysis of Clinical Percussion Signals Using Matrix Pencil Method
Published 2015-01-01“…Matrix Pencil Method (MPM) is used to decompose the signal into a set of exponentially damped sinusoids, which are then plotted in the time-frequency plane. …”
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Parameter estimation of frequency hopping signal based on time-frequency matrix LCM
Published 2021-10-01“…To improve the performance of the parameter estimation of frequency hopping signal under low signal-to-noise ratio, a parameter estimation algorithm of frequency hopping signal based on time-frequency matrix LCM was proposed.Considering the different characteristics of time-frequency distribution of frequency hopping signal and noise, the mean local energy comparison value of the time-frequency matrix under different scale sliding windows was used, and the multi-scale local energy comparison feature matrix was introduced, so the time-frequency matrix P that only contains the time-frequency information of the frequency hopping signal could be obtained through this feature matrix and the adaptive threshold separation.And then, by extracting the time-frequency hopping information from P, the period, hopping time and frequency of the frequency hopping signal could be accurately estimated.The simulation results show that compared with the traditional local contrast measure (LCM) and morphological filtering method, the proposed algorithm has better frequency hopping signal extraction effect and higher parameter estimation accuracy.And then the tests of the algorithm on the DSP+FPGA hardware system verify the effectiveness and practicability.…”
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Music Bleeding-sound Reduction Based on Time-channel Nonnegative Matrix Factorization
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Real-time scattering in Ising field theory using matrix product states
Published 2025-06-01“…We study scattering in Ising field theory (IFT) using matrix product states and the time-dependent variational principle. …”
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Controllability Analysis of Linear Time-Varying T-H Equation with Matrix Sequence Method
Published 2023-01-01“…In this paper, we propose to transform the second-order time-varying system represented by the linear T-H equation with a second-order matrix form into a first-order time-varying system. …”
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Coefficient Matrix Decomposition Method and BIBO Stabilization of Stochastic Systems with Time Delays
Published 2013-01-01“…The mean square BIBO stabilization is investigated for the stochastic control systems with time delays and nonlinear perturbations. A class of suitable Lyapunov functional is constructed, combined with the descriptor model transformation and the decomposition technique of coefficient matrix; thus some novel delay-dependent mean square BIBO stabilization conditions are derived. …”
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Density matrix emulation of quantum recurrent neural networks for multivariate time series prediction
Published 2025-01-01“…This allows us to show how the present and past information from a time series is transmitted through the circuit, and how to reduce the computational cost in every time step of the emulated network. …”
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Terminal zeroing neural network for time-varying matrix computing under bounded noise
Published 2024-09-01Subjects: “…time-varying matrix computation;ZNN;fixed/predefined-time convergence;repetitive motion planning…”
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Interval State Estimator Design Using the Observability Matrix for Multiple Input Multiple Output Linear Time-Varying Discrete-Time Systems
Published 2019-01-01“…In this paper, a novel numerical scheme to set-membership interval state estimator design is proposed for the multiple-input-multiple-output (MIMO) linear time-varying (LTV) discrete-time systems using systems observability matrix and its past input/output values. …”
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Fixed/Prescribed-Time Synchronization of Fuzzy Inertial Memristive Neural Networks With Time-Varying Delay: Interval Matrix Method and PI Control
Published 2025-01-01Subjects: Get full text
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Joint Estimation of 2D-DOA and Frequency Based on Space-Time Matrix and Conformal Array
Published 2013-01-01“…The delay correlation function is used to suppress noise. Both spatial and time sampling are utilized to construct the spatial-time matrix. …”
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