Results 11 to 20 of about 26,525 (190)
IEEE Transactions on Signal Processing, 2018 Many signals are modeled as a superposition of exponential functions in spectroscopy of chemistry, biology and medical imaging. This paper studies the problem of recovering exponential signals from a random subset of samples.
Cai, Jian-Feng +5 more
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Delayformer: Spatiotemporal Transformation for Predicting High-Dimensional Dynamics. [PDF]
Adv Sci (Weinh)Delayformer introduces a multivariate spatiotemporal transformation (mvSTI) that converts observed variables into delay‐embedded states and cross‐learns their dynamics using a shared Vision Transformer encoder. This approach, grounded in dynamical systems theory, simultaneously predicts all variables in high‐dimensional systems, outperforming state‐of ...
Wang Z, Tao P, Chen L.
europepmc +2 more sources
Singular Spectrum Analysis for Modal Estimation from Stationary Response Only
Sensors, 2022 Conventional experimental modal analysis uses excitation and response information to estimate the frequency response function. However, many engineering structures face excitation signals that are difficult to measure, so output-only modal estimation is ...
Chang-Sheng Lin, Yi-Xiu Wu
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TOEPLITZ/HANKEL MATRIX ALGEBRA IN MODEL PREDICTIVE CONTROL
Perner’s Contacts, 2008 Model-based Predictive Control (MPC) algorithms popularity grows steadily in industry and academic area as well. Control actions are computed as an optimization problem.
Daniel Honc, Libor Havlíček
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Finite Sample Identification of Low-Order LTI Systems via Nuclear Norm Regularization
IEEE Open Journal of Control Systems, 2022 This paper studies the problem of identifying low-order linear time-invariant systems via Hankel nuclear norm (HNN) regularization. This regularization encourages the Hankel matrix to be low-rank, which corresponds to the dynamical system being of low ...
Yue Sun, Samet Oymak, Maryam Fazel
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Robust low‐rank Hankel matrix recovery for skywave radar slow‐time samples
IET Radar, Sonar & Navigation, 2021 In skywave radar, the slow‐time samples received in a certain range‐azimuth cell are usually processed for signal analysis and target detection. Particularly, to extract the principal components, such as sea clutter and target signal, in slow‐time ...
Baiqiang Zhang, Junhao Xie, Wei Zhou
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Lower Bounds for Arithmetic Circuits via the Hankel Matrix [PDF]
computational complexity, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fijalkow, Nathanaël +3 more
openaire +6 more sources
On determinants identity minus Hankel matrix [PDF]
Bulletin of the London Mathematical Society, 2019 In this note, we study the asymptotics of the determinant $\det(I_N - H_N)$ for $N$ large, where $H_N$ is the $N\times N$ restriction of a Hankel matrix $H$ with finitely many jump discontinuities in its symbol satisfying $\|H\|\leq 1$. Moreover, we assume $ \in\mathbb C$ with $| |<1$ and $I_N$ denotes the identity matrix. We determine the first
Fedele, Emilio, Gebert, Martin
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Characterizations of matrix-valued asymmetric truncated Hankel operators
Banach Journal of Mathematical Analysis, 2023 In this paper we introduce the class of matrix valued asymmetric truncated Hankel operators. By using characterizations of matrix valued asymmetric truncated Toeplitz operators, we characterize matrix valued asymmetric truncated Hankel operators in the case when two involved inner matrices are J-symmetric.
Khan, Rewayat, Lee, Ji Eun
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Simultaneous reconstruction and denoising for DAS-VSP seismic data by RRU-net
Frontiers in Earth Science, 2023 Distributed acoustic sensing in vertical seismic profile (DAS-VSP) acquisition plays an important role in reservoir monitoring. But the field data can be noisy and associated with missing traces which affects the seismic imaging and geological ...
Huanhuan Tang +3 more
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