Konu "Power Spectrum" için Makale Koleksiyonu listeleme
Toplam kayıt 7, listelenen: 1-7
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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 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 ... -
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 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 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 ...