Ara
Toplam kayıt 13, 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 ...
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 ...
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 ...
Identification of acoustic spectra for fault detection in induction motors
(IEEE, 2013)
In this paper, we study fault detection problem for induction motors by using a recently developed cross-power spectral density estimation algorithm from sound measurements. In a test rig, from multiple experiments the ...
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 ...