Konu "Nuclear Norm" için Fakülteler listeleme
Toplam kayıt 15, listelenen: 1-15
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Nuclear Norm Spectrum Estimation From Uniformly Spaced Measurements
(IEEE-Inst Electrical Electronics Engineers Inc, 2014)Subspace-based methods have been effectively used to estimate multi-input/multi-output, discrete-time, linear-time invariant systems from uniformly spaced spectrum samples. A critical step in these methods is the splitting ... -
Positive realness in stochastic subspace identification: A regularized and reweighted nuclear norm minimization approach
(Institute of Electrical and Electronics Engineers Inc., 2015)In this paper, we propose a method to transform a non-positive real transfer function matrix into a positive real one. This problem is of engineering interest and arises when a linear time-invarant dynamics is identified ... -
Positive Realness in Stochastic Subspace Identification: A Regularized and Reweighted Nuclear Norm Minimization Approach
(IEEE, 2015)In this paper, we propose a method to transform a non-positive real transfer function matrix into a positive real one. This problem is of engineering interest and arises when a linear time-invarant dynamics is identified ... -
Power spectrum estimation in innovation models
(Academic Press LTD- Elsevier Science LTD, 2019)In this paper, a regularized nuclear norm minimization-based subspace identification algorithm is proposed to estimate discrete-time power spectra of multi-input/multi-out systems in innovation models from output-only ... -
Power spectrum estimation with missing values
(IEEE, 2015)In this paper, we consider estimation of a power spectrum from noise corrupted spectrum samples on uniform grids of frequencies with missing values. A scheme based on regularized nuclear norm optimization and subspace ... -
Regularized Nuclear Norm Spectrum Estimation in Frequency Domain
(IEEE, 2013)Subspace-based methods have been effectively used to estimate multi-input/multi-output, discrete-time, linear-time invariant systems from spectrum samples. A critical step in these methods is the splitting of causal and ... -
Road profile modeling by subspace identification methods
(Institute of Electrical and Electronics Engineers Inc., 2015)In this paper, spectral models of road profiles using nonparametric and subspace identification methods are developed from road elevation measurements. First, power spectra of road profiles are estimated on uniform grids ... -
Road Profile Modeling by Subspace Identification Methods
(IEEE, 2015)In this paper, spectral models of road profiles using nonparametric and subspace identification methods are developed from road elevation measurements. First, power spectra of road profiles are estimated on uniform grids ... -
Spectrum estimation in frequency-domain by subspace and regularization-based algorithms: A survey
(IEEE, 2015)In this survey article, we study methods to identify multi-input/multi-output, discrete-time, linear time-invariant systems from power spectrum measurements. First, we examine subspace-based identification algorithms. A ... -
Spectrum estimation in innovation models by a nuclear norm optimization based algorithm
(IEEE, 2017)In this paper, identification of multi-input/multioutput (Ml MO) state-space models in the innovation form by a regularized-nuclear norm optimization based subspace algorithm is studied. Parametrization issues arc carefully ... -
Spectrum estimation with missing values: A regularized nuclear norm minimization approach
(World Scientific Publ Co Pte LTD, 2016)In this paper, we consider estimation of a power spectrum from noise corrupted spectrum samples on uniform grids of frequencies with missing values. We propose two schemes based on the regularized nuclear norm minimization ... -
Subspace-Based Spectrum Estimation By Nuclear Norm Minimization
(IEEE, 2013)Subspace-based methods have been effectively used to estimate multi-input/multi-output, linear-time-invariant systems from noisy spectrum samples. In these methods, a critical step is splitting of two invariant subspaces ... -
Subspace-based spectrum estimation in frequency-domain by regularized nuclear norm minimization
(Elsevier Science BV, 2014)Subspace-based methods have been effectively used to estimate multi-input/multi-output, discrete-time, linear-time-invariant systems from noisy spectrum samples. In these methods, a critical step is splitting of two invariant ... -
Time-domain identification of rational spectra with missing data
(IEEE, 2016)In this paper, we study modelling of rational spectra from time-domain measurements when the measurement information is not complete. We propose a three-stage estimation scheme. In the first-stage, rational spectra are ... -
Wind speed forecasting by subspace and nuclear norm optimization based algorithms
(Elsevier Ltd, 2019)In this paper, we study properties of two wind speed forecasting schemes from mid-to-short term wind velocity measurements. The measurements are assumed to be collected over time intervals shorter than the ones previously ...