ITEM METADATA RECORD
Title: Study of conditional ML estimators in time and frequency-domain system identification
Authors: Schoukens, Joannes ×
Pintelon, R
Rolain, Y #
Issue Date: Jan-1999
Publisher: Pergamon-elsevier science ltd
Series Title: Automatica vol:35 issue:1 pages:91-100
Abstract: This paper shows that the full covariance matrix can be replaced by its main diagonal in maximum likelihood estimation (MLE) of linear dynamic systems in the time or frequency domain without affecting the asymptotic properties, This is a very important result for frequency-domain identification since it allows to use nonparametric noise models, It also provides a theoretical justification for the common practice in time-domain identification to neglect the initial condition effects of the noise model, (C) 1999 Elsevier Science Ltd, All rights reserved.
URI: 
ISSN: 0005-1098
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy

 




All items in Lirias are protected by copyright, with all rights reserved.

© Web of science