Ara
Toplam kayıt 10, listelenen: 1-10
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...