Identification of transfer function matrix using higher-order spectra
DOI10.1007/BF03167244zbMath0854.62089MaRDI QIDQ1922225
Publication date: 19 January 1997
Published in: Japan Journal of Industrial and Applied Mathematics (Search for Journal in Brave)
asymptotic normalitylinear processasymptotic efficiencystrong consistencyinner-outer factorizationminimum phaseall-passAkaike's AIChigher-order cumulant spectral estimatesecond-order spectral estimateidentification of a parametric transfer function matrixIIC criterionstable transfer function matrixvector-valued stationary time series
Inference from stochastic processes and spectral analysis (62M15) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)
Related Items (2)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Deconvolution and estimation of transfer function phase and coefficients for nongaussian linear processes
- Asymptotic properties of minimization estimators for time series parameters
- Identification of non-minimum phase transfer function using higher-order spectrum
- Linear processes and bispectra
- Limiting behavior of functionals of higher-order sample cumulant spectra
- A new look at the statistical model identification
This page was built for publication: Identification of transfer function matrix using higher-order spectra