𝔖 Bobbio Scriptorium
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Maximum a posteriori estimation in presence of film grain noise

✍ Scribed by A.S. Tavildar; H.M. Gupta; S.N. Gupta


Publisher
Elsevier Science
Year
1985
Tongue
English
Weight
349 KB
Volume
8
Category
Article
ISSN
0165-1684

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✍ G.N. Milstein; M. Nussbaum πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 115 KB

We study extremal problems related to nonparametric maximum likelihood estimation (MLE) of a signal in white noise. The aim is to reduce these to standard problems of optimal control which can be solved by iterative procedures. This reduction requires a preliminary data smoothing; stability theorems