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Non-parametric Noise Models extracted from Overlapping Sub-records
2006 IEEE Instrumentation and Measurement Technology Conference Proceedings
◽
10.1109/imtc.2006.328227
◽
2006
◽
Cited By ~ 2
Author(s):
Kurt Barbe
◽
Johan Schoukens
Keyword(s):
Parametric Noise
◽
Noise Models
◽
Non Parametric
Download Full-text
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Cited By
References
Frequency domain subspace system identification using non-parametric noise models
Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228)
◽
10.1109/cdc.2001.980486
◽
2003
◽
Author(s):
R. Pintelon
Keyword(s):
System Identification
◽
Frequency Domain
◽
Parametric Noise
◽
Noise Models
◽
Subspace System Identification
◽
Non Parametric
Download Full-text
On the use of parametric and non-parametric noise-models in time- and frequency domain system identification
49th IEEE Conference on Decision and Control (CDC)
◽
10.1109/cdc.2010.5717606
◽
2010
◽
Cited By ~ 2
Author(s):
J. Schoukens
◽
Y. Rolain
◽
R. Pintelon
Keyword(s):
System Identification
◽
Frequency Domain
◽
Parametric Noise
◽
Noise Models
◽
Non Parametric
Download Full-text
Frequency-domain subspace system identification using non-parametric noise models
Automatica
◽
10.1016/s0005-1098(02)00036-5
◽
2002
◽
Vol 38
(8)
◽
pp. 1295-1311
◽
Cited By ~ 48
Author(s):
R. Pintelon
Keyword(s):
System Identification
◽
Frequency Domain
◽
Parametric Noise
◽
Noise Models
◽
Subspace System Identification
◽
Non Parametric
Download Full-text
Frequency-domain system identification using non-parametric noise models estimated from a small number of data sets
Automatica
◽
10.1016/s0005-1098(97)00002-2
◽
1997
◽
Vol 33
(6)
◽
pp. 1073-1086
◽
Cited By ~ 122
Author(s):
J. Schoukens
◽
R. Pintelon
◽
G. Vandersteen
◽
P. Guillaume
Keyword(s):
System Identification
◽
Frequency Domain
◽
Data Sets
◽
Parametric Noise
◽
Noise Models
◽
Non Parametric
Download Full-text
Frequency Domain Identification Using Non-Parametric Noise Models Estimated from a Small Number of Data Sets
IFAC Proceedings Volumes
◽
10.1016/s1474-6670(17)43075-8
◽
1997
◽
Vol 30
(11)
◽
pp. 1625-1630
Author(s):
J. Schoukens
◽
R. Pintelon
◽
G. Vandersteen
◽
P. Guillaume
Keyword(s):
Frequency Domain
◽
Data Sets
◽
Domain Identification
◽
Frequency Domain Identification
◽
Parametric Noise
◽
Noise Models
◽
Non Parametric
Download Full-text
Non-parametric Noise Models extracted from Overlapping Sub-records
2006 IEEE Instrumentation and Measurement Technology Conference Proceedings
◽
10.1109/imtc.2006.235203
◽
2006
◽
Author(s):
Kurt Barbe
Keyword(s):
Parametric Noise
◽
Noise Models
◽
Non Parametric
Download Full-text
Asymptotic Uncertainty of Transfer Function Estimates Using Non-Parametric Noise Models
2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007
◽
10.1109/imtc.2007.379368
◽
2007
◽
Author(s):
R. Pintelon
◽
M. Hong
Keyword(s):
Transfer Function
◽
Parametric Noise
◽
Noise Models
◽
Non Parametric
Download Full-text
Asymptotic properties of transfer function estimates using non-parametric noise models under relaxed assumptions
IFAC Proceedings Volumes
◽
10.3182/20090706-3-fr-2004.00189
◽
2009
◽
Vol 42
(10)
◽
pp. 1139-1144
Author(s):
Kurt Barbé
◽
Rik Pintelon
◽
Johan Schoukens
Keyword(s):
Transfer Function
◽
Asymptotic Properties
◽
Parametric Noise
◽
Noise Models
◽
Non Parametric
Download Full-text
Frequency domain identification using non-parametric noise models
2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)
◽
10.1109/cdc.2004.1428772
◽
2004
◽
Cited By ~ 1
Author(s):
K. Mahata
◽
R. Pintelon
◽
J. Schoukens
Keyword(s):
Frequency Domain
◽
Domain Identification
◽
Frequency Domain Identification
◽
Parametric Noise
◽
Noise Models
◽
Non Parametric
Download Full-text
The differogram: Non-parametric noise variance estimation and its use for model selection
Neurocomputing
◽
10.1016/j.neucom.2005.02.015
◽
2005
◽
Vol 69
(1-3)
◽
pp. 100-122
◽
Cited By ~ 11
Author(s):
Kristiaan Pelckmans
◽
Jos De Brabanter
◽
Johan A.K. Suykens
◽
Bart De Moor
Keyword(s):
Model Selection
◽
Variance Estimation
◽
Noise Variance
◽
Parametric Noise
◽
Non Parametric
Download Full-text
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