A new principle for choosing regularization parameter in certain inverse problems

2008/03/26 by Hans Rullgård, Rullgård, Hans
Computer Science · Engineering · Mathematics · #65R30 #65R32 #Advanced Mathematical Modeling in Engineering #FOS: Mathematics #Numerical Analysis (math.NA) #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques

paper · pdf · doi:10.48550/arxiv.0803.3713

openalex publication_date 2008/03/26 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28

Abstract

A new parameter choice rule for inverse problems is introduced. This parameter choice rule was developed for total variation regularization in electron tomography and might in general be useful for L¹ regularization of inverse problems with high levels of noise in the data.

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