Least-squares Polynomial Estimation from Observations Featuring Correlated Random Delays
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Mathematics,Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/s11009-008-9117-z.pdf
Reference20 articles.
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3. Carravetta F, Germani A, Raimondi M (1996) Polynomial filtering for linear discrete time non-Gaussian systems. SIAM J Control Optim 34:1666–1690
4. Dalla Mora M, Germani A, Nardecchia A (2001) Restoration of images corrupted by additive non-Gaussian noise. IEEE Trans Circuits Syst 1 Fundam Theory Appl 48:859–875
5. De Santis A, Germani A, Raimondi M (1995) Optimal quadratic filtering of linear discrete-time non-Gaussian systems. IEEE Trans Automat Contr AC-40:1274–1278
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1. Reduced-Order Quadratic Kalman-Like Filtering of Non-Gaussian Systems;IEEE Transactions on Automatic Control;2013-07
2. Least-squares linear estimation of signals from observations with Markovian delays;Journal of Computational and Applied Mathematics;2011-08
3. A New Estimation Algorithm from Measurements with Multiple-Step Random Delays and Packet Dropouts;Mathematical Problems in Engineering;2010
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