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Toplam kayıt 7, listelenen: 1-7
Membership set identification with periodic inputs and orthonormal regressors
(Elsevier Science BV, 2006)
In this paper, we study the central and the projection algorithms in membership-set estimation with periodic input signals and orthonormal basis functions for the special case that the number of the estimated parameters ...
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 ...
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 ...
A subspace-based method for solving Lagrange-Sylvester interpolation problems
(Siam Publications, 2007)
In this paper, we study the Lagrange-Sylvester interpolation of rational matrix functions which are analytic at infinity, and propose a new interpolation algorithm based on the recent subspace-based identification methods. ...
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 ...
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 ...