Frequency domain subspace-based identification of discrete-time power spectra from nonuniformly spaced measurements

Authors:
HüSeyin AkçAy;Semiha TüRkay
Affiliations:
Department of Electrical and Electronics Engineering, Anadolu University, Eskişehir 26470, Turkey;Department of Electrical and Electronics Engineering, Anadolu University, Eskişehir 26470, Turkey
Venue:
Automatica (Journal of IFAC)
Year:
2004

Citing 10
Cited 5

Linear stochastic systems

Linear stochastic systems
Identification of the deterministic part of MIMO state space models given in innovations form from input-output data

Automatica (Journal of IFAC) - Special issue on statistical signal processing and control
A Subspace Model Identification Solution to the Identificationof Mixed Causal, Anti-Causal LTI Systems

SIAM Journal on Matrix Analysis and Applications
Continuous-time frequency domain subspace system identification

Signal Processing - Special issue: subspace methods, part II: system identification
Subspace-based identification of infinite-dimensional multivariable systems from frequency-response data

Automatica (Journal of IFAC)
A subspace algorithm for the identification of discrete time frequency domain power spectra

Automatica (Journal of IFAC)
The singular value decomposition and long and short spaces of noisymatrices

IEEE Transactions on Signal Processing
Invariants and canonical forms for systems structural and parametric identification

Automatica (Journal of IFAC)
Canonical structures in the identification of multivariable systems

Automatica (Journal of IFAC)
On-line structure selection for multivariable state-space models

Automatica (Journal of IFAC)

Brief paper: An insight into instrumental variable frequency-domain subspace identification

Automatica (Journal of IFAC)
Subspace-based rational interpolation of analytic functions from phase data

IEEE Transactions on Signal Processing
Brief paper: Frequency domain subspace-based identification of discrete-time power spectra from uniformly spaced measurements

Automatica (Journal of IFAC)
Frequency domain subspace-based identification of discrete-time singular power spectra

Signal Processing
Subspace-based spectrum estimation in frequency-domain by regularized nuclear norm minimization

Signal Processing

Quantified Score

Hi-index	22.15

Visualization

Abstract

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 algorithm is strongly consistent and it is illustrated with one practical example that solves a stochastic road modeling problem.