Konu "Power Spectrum" için Elektrik ve Elektronik Mühendisliği Bölümü listeleme
Toplam kayıt 20, listelenen: 1-20
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Frequency domain subispace-based identification of discrete-time power spectra from nonuniformly spaced measurements
(Pergamon-Elsevier Science LTD, 2004)In this paper, we present a new subspace-based algorithm for the identification of multi-input/multi-output, square, discrete-time, linear-time invariant systems from nonuniformly spaced power spectrum measurements. The ... -
Frequency domain subspace-based identification of discrete-time power spectra from uniformly spaced measurements
(Pergamon-Elsevier Science LTD, 2011)In this paper, we revisit the problem of identifying multi-input/multi-output linear-time-invariant discrete-time systems from measured power spectrum data on uniform grids of frequencies studied by Van Overschee, De Moor, ... -
Frequency domain subspace-based identification of discrete-time singular power spectra
(Elsevier Science BV, 2012)In this paper, we propose a subspace algorithm for the identification of linear-time-invariant discrete-time systems with more outputs than inputs from measured power spectrum data. The proposed identification algorithm ... -
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 ... -
Identification of continuous-time power spectra by generalized Fourier series
(Chinese Automatic Control Soc, 2007)In this paper, we present a generalized Fourier series based algorithm for the identification of continuous-time, linear-time invariant systems from power spectrum measurements. The algorithm is strongly consistent and it ... -
Induction Motor Identification from Acoustic Noise Spectrum by a Covariance Subspace Algorithm
(IEEE Computer Society, 2018)In this paper, we study identification of induction motors by using a recently developed covariance-based subspace algorithm from sound measurements. The sound data are collected by an array of five-microphones placed ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 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 ... -
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 ...