Résumé
A class of nonparametric signal estimates is proposed on the basis of observations in noise with probability characteristics that are not precisely known. The consistency conditions for these estimates are given, and their rate of convergence is determined. The problem of choosing estimates that are optimal in the sense of rate of convergence is solved.
| langue originale | Anglais |
|---|---|
| Pages (de - à) | 116-130 |
| Nombre de pages | 15 |
| journal | Problems of Information Transmission |
| Volume | 82 |
| Numéro de publication | 2 |
| état | Publié - 1 janv. 1982 |
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