System identification from noisy measurements by using instrumental variables and subspace fitting
- 1 March 1996
- journal article
- Published by Springer Nature in Circuits, Systems, and Signal Processing
- Vol. 15 (2) , 275-290
- https://doi.org/10.1007/bf01183780
Abstract
No abstract availableKeywords
This publication has 13 references indexed in Scilit:
- An Eigenvalue-Based Detection Test for Array Signal Processing in Unknown Correlated Noise FieldsIFAC Proceedings Volumes, 1996
- Combined instrumental variable and subspace fitting approach to parameter estimation of noisy input-output systemsIEEE Transactions on Signal Processing, 1995
- The Total Least Squares ProblemPublished by Society for Industrial & Applied Mathematics (SIAM) ,1991
- Performance study of conditional and unconditional direction-of-arrival estimationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
- Maximum likelihood methods for direction-of-arrival estimationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
- The frisch scheme in dynamic system identificationAutomatica, 1990
- MUSIC, maximum likelihood, and Cramer-Rao boundIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
- IDENTIFIABILITY IN DYNAMIC ERRORS‐IN‐VARIABLES MODELSJournal of Time Series Analysis, 1984
- Instrumental Variable Methods for System IdentificationPublished by Springer Nature ,1983
- Identification of stochastic linear systems in presence of input noiseAutomatica, 1981