DocumentCode :
872199
Title :
On The Relation Between Weighted Frequency-Domain Maximum-Likelihood Power Spectral Estimation and the Prefiltered Covariance Extension Approach
Author :
Blomqvist, Anders ; Wahlberg, Bo
Author_Institution :
Kaupthing Bank Sverige AB, Stockholm
Volume :
55
Issue :
1
fYear :
2007
Firstpage :
384
Lastpage :
389
Abstract :
The aim of this correspondence is to study the connection between weighted frequency-domain maximum-likelihood power spectral estimation and the time-domain prefiltered covariance extension approach. Weighting and prefiltering are introduced to emphasize the model fit in a certain frequency range. The main result is that these two methods are very closely related for the case of autoregressive (AR) model estimation, which implies that both can be formulated as convex optimization problems. Examples illustrating the methods and the effect of prefiltering/weighting are provided
Keywords :
autoregressive processes; covariance analysis; filtering theory; frequency-domain analysis; maximum likelihood estimation; optimisation; time-domain analysis; autoregressive model estimation; convex optimization problems; maximum-likelihood power spectral estimation; prefiltered covariance extension approach; time-domain approach; weighted frequency-domain; Autoregressive processes; Filters; Frequency domain analysis; Frequency estimation; Maximum likelihood estimation; Optimization methods; Poles and zeros; Power system modeling; Spectral analysis; Time domain analysis; Autoregressive (AR) processes; covariance analysis; frequency-domain analysis; spectral analysis;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2006.885780
Filename :
4034122
Link To Document :
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