Konu "Subspace Method" için Makale Koleksiyonu listeleme
Toplam kayıt 7, listelenen: 1-7
-
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 ... -
Nuclear Norm Spectrum Estimation From Uniformly Spaced Measurements
(IEEE-Inst Electrical Electronics Engineers Inc, 2014)Subspace-based methods have been effectively used to estimate multi-input/multi-output, discrete-time, linear-time invariant systems from uniformly spaced spectrum samples. A critical step in these methods is the splitting ... -
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 ... -
Spectral estimation in frequency-domain by subspace techniques
(Elsevier Science BV, 2014)In this paper, frequency-domain subspace-based algorithms are proposed to estimate discrete-time cross-power spectral density (cross-PSD) and auto-power spectral density (auto-PSD) matrices from samples of the Welch cross-PSD ... -
Subspace-Based Identification of Acoustic Noise Spectra in Induction Motors
(IEEE-Inst Electrical Electronics Engineers Inc, 2015)In this paper, we study the identification of acoustic noise spectra in induction motors by using a recently developed frequency-domain cross-power spectrum estimation algorithm. This algorithm is a noniterative high-resolution ... -
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 ... -
Wind speed forecasting by subspace and nuclear norm optimization based algorithms
(Elsevier Ltd, 2019)In this paper, we study properties of two wind speed forecasting schemes from mid-to-short term wind velocity measurements. The measurements are assumed to be collected over time intervals shorter than the ones previously ...