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Regularized Wavelets for Solving Inverse Ill-Posed Problems

机译:解决逆病态问题的正则小波

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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.
机译:本文介绍了基于Bayes策略的正则小波分析的正则小波和数值算法。该程序包括调查在缩放函数同时满足正则化运算符和正交基准的条件下,根据多分辨率分析寻找基础的可能性。考虑了正则小波在具有分形噪声的合成模拟光谱的微分中的应用示例。

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