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ECOLE SUPÉRIEURE D'ÉLECTRICITÉ Une grande école d'ingénieurs au cœur des sciences de l'information,de l'énergie et des systèmes |
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Conference papers
Estimation quality of a weighted least-square parameter estimation method based on binay observations
Abstract : In this paper, we investigate the quality of a weighted leastsquare (WLS) parameter estimation method based on binary observations when only a finite number of samples are available. An upper bound of the number of samples that are necessary for identifying system with a given accuracy is theoretically derived. The accuracy is defined in the sense of correlation coefficient between the system parameters and our estimated system parameters. Furthermore, we compare theoretical results with simulations in order to study the validity of the results practically.
Cited literature [9 references]
https://hal-supelec.archives-ouvertes.fr/hal-00516976
Contributor : Karine El Rassi Connect in order to contact the contributor
Submitted on : Monday, September 13, 2010 - 12:00:44 PM
Last modification on : Monday, December 14, 2020 - 12:38:04 PM
Long-term archiving on: : Tuesday, December 14, 2010 - 2:42:11 AM
Contributor : Karine El Rassi Connect in order to contact the contributor
Submitted on : Monday, September 13, 2010 - 12:00:44 PM
Last modification on : Monday, December 14, 2020 - 12:38:04 PM
Long-term archiving on: : Tuesday, December 14, 2010 - 2:42:11 AM
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