Noise Models for Ill-Posed Problems-Reference-Cited by-同舟云学术

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Noise Models for Ill-Posed Problems

Published:2015 Issue: Volume: Page:1633-1658
ISSN:
Container-title:Handbook of Geomathematics
language:
Short-container-title:

Author:

Eggermont Paul N.,LaRiccia Vincent,Nashed M. Zuhair

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-54551-1_24

Reference50 articles.

1. Bissantz N, Hohage T, Munk A, Ruymgaart F (2007) Convergence rates of general regularization methods for statistical inverse problems and applications. SIAM J Numer Anal 45:2610–2626

2. Burger M, Resmerita E, He L (2007) Error estimation for Bregman iterations and inverse scale space methods in image restoration. Computing 81:109–135

3. Cavalier L, Golubev GK (2006) Risk hull method and regularization by projections of ill-posed inverse problems. Ann Stat 34:1653–1677

4. Cavalier L, Golubev GK, Picard D, Tsybakov AB (2002) Oracle inequalities for inverse problems. Ann Stat 30:843–874

5. Desbat L, Girard D (1995) The “minimum reconstruction error” choice of regularization parameters: some more efficient methods and their application to deconvolution problems. SIAM J Sci Comput 16:1387–1403

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