Ara
Toplam kayıt 20, listelenen: 1-10
Subspace-based spectrum estimation by reweighted and regularized nuclear norm minimization in frequency-domain
(IEEE, 2015)
In this paper, we study model order choice in subspace-based identification algorithms using nonuniformly spaced spectrum measurements. A critical step in these methods is splitting of two invariant subspaces associated ...
Modelling of road roughness for full-car models: a spectral factorization approach
(IEEE, 2016)
In this paper, we study modelling of road roughness for full-car models from power spectrum and coherence measurements of parallel tracks. The modelling problem is cast as a spectral factorization problem and solved via ...
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 ...
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 ...
Spectral Modeling of Longitudinal Road Profiles
(IEEE, 2015)
In this paper, for a quarter-car model, we derive covariance expressions for the MIRA spectrum and calculate the root-mean square outputs for the ISO 8608 classified roads. The derived results are compared with existing ...
Power Spectrum Estimation in Innovation Models by Nuclear Norm Optimization
(IEEE Computer Society, 2018)
In this paper, identification of discrete-time power spectra of multi-input/multi-output models in innovation form from output-only time-domain measurements is studied. Two regularized nuclear norm minimization-based ...
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 ...
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 ...
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 ...