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Minimax Predictors for Signals Having a Bonded kth Derivative

✍ Scribed by D.W. Kelsey; A.H. Haddad


Publisher
Elsevier Science
Year
1974
Tongue
English
Weight
908 KB
Volume
297
Category
Article
ISSN
0016-0032

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✦ Synopsis


Predictors are derived which minimize the maximum possible mean-squared prediction error for signals observed in white noise and having a bounded kth derivative.

Expressions are given for the resulting worst-case error and a auboptimal solution ia presented which, for the case k = 2, performs nearly aa well as the optimal and G far easier to implement.