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Approximate Maximum-Likelihood Period Estimation From Sparse, Noisy Timing Data

โœ Scribed by Clarkson, I.V.L.


Book ID
119822899
Publisher
IEEE
Year
2008
Tongue
English
Weight
405 KB
Volume
56
Category
Article
ISSN
1053-587X

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When experiments are conducted there is always a chance of the occurrence of large measurement errors (outliers). Common identification methods like generalized least squares, maximum likelihood etc. may not converge in these situations due to the presence of oufliers. Here we present a method for t