Konu "Subspace Identification" için Elektrik ve Elektronik Mühendisliği Bölümü listeleme
Toplam kayıt 7, listelenen: 1-7
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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 ... -
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 ... -
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 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 ... -
A spectral estimation case study in frequency-domain by subspace methods
(IEEE, 2013)In this paper, the properties of two recently proposed frequency-domain subspace-based algorithms to estimate discrete-time cross-power spectral density (cross-PSD) and auto-power spectral density (auto-PSD) matrices of ... -
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 ...