Regularization and inverse problems

被引：4

作者：

Lasenby, A ^{[1
]}

Barreiro, B ^{[1
]}

Hobson, M ^{[1
]}

机构：

[1] Univ Cambridge, Cavendish Lab, Astrophys Grp, Cambridge CB3 0HE, England

来源：

MINING THE SKY | 2001年

关键词：

D O I：

10.1007/10849171_2

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

An overview is given of Bayesian inversion and regularization procedures. In particular, the conceptual basis of the maximum entropy method (MEM) is discussed, and extensions to positive/negative and complex data are highlighted. Other deconvolution methods are also discussed within the Bayesian context, focusing mainly on the comparison of Wiener filtering, Massive Inference and the Pixon method, using examples from both astronomical and non-astronomical applications.

引用

页码：15 / 32

页数：18

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