Regularized wavelets for solving inverse ill-posed problems

被引：0

作者：

Kharintsev, SS ^{[1
]}

Salakhov, MK ^{[1
]}

机构：

[1] Kazan VI Lenin State Univ, Dept Phys, Kazan 420008, Russia

来源：

BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING | 2002年 / 617卷

关键词：

D O I：

暂无

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

This paper describes regularized wavelets and numerical algorithms for a regularized wavelet-analysis based on the bayes strategy. This program includes the investigation of a possibility for finding a basis in terms of a multiresolution analysis under condition that a scaling function would satisfy the properties of a regularization operator and an orthonormal basis simultaneously. Examples of application of the regularized wavelets in the differentiation of composite simulated spectra with a fractal noise are considered.

引用

页码：259 / 269

页数：11

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