Application of Turchin's method of statistical regularization
During analysis of experimental data, one usually needs to restore a signal after it has been convoluted with some kind of apparatus function. According to Hadamard's definition this problem is ill-posed and requires regularization to provide sensible results. In this article we describe an imp...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2018-01-01
|
Series: | EPJ Web of Conferences |
Online Access: | https://doi.org/10.1051/epjconf/201817707005 |
id |
doaj-7b9d64e2cefd4037ac65b18ce25da904 |
---|---|
record_format |
Article |
spelling |
doaj-7b9d64e2cefd4037ac65b18ce25da9042021-08-02T09:46:54ZengEDP SciencesEPJ Web of Conferences2100-014X2018-01-011770700510.1051/epjconf/201817707005epjconf_ayss2018_07005Application of Turchin's method of statistical regularizationZelenyi MikhailPoliakova MariiaNozik AlexanderKhudyakov AlexeyDuring analysis of experimental data, one usually needs to restore a signal after it has been convoluted with some kind of apparatus function. According to Hadamard's definition this problem is ill-posed and requires regularization to provide sensible results. In this article we describe an implementation of the Turchin's method of statistical regularization based on the Bayesian approach to the regularization strategy.https://doi.org/10.1051/epjconf/201817707005 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zelenyi Mikhail Poliakova Mariia Nozik Alexander Khudyakov Alexey |
spellingShingle |
Zelenyi Mikhail Poliakova Mariia Nozik Alexander Khudyakov Alexey Application of Turchin's method of statistical regularization EPJ Web of Conferences |
author_facet |
Zelenyi Mikhail Poliakova Mariia Nozik Alexander Khudyakov Alexey |
author_sort |
Zelenyi Mikhail |
title |
Application of Turchin's method of statistical regularization |
title_short |
Application of Turchin's method of statistical regularization |
title_full |
Application of Turchin's method of statistical regularization |
title_fullStr |
Application of Turchin's method of statistical regularization |
title_full_unstemmed |
Application of Turchin's method of statistical regularization |
title_sort |
application of turchin's method of statistical regularization |
publisher |
EDP Sciences |
series |
EPJ Web of Conferences |
issn |
2100-014X |
publishDate |
2018-01-01 |
description |
During analysis of experimental data, one usually needs to restore a signal after it has been convoluted with some kind of apparatus function. According to Hadamard's definition this problem is ill-posed and requires regularization to provide sensible results. In this article we describe an implementation of the Turchin's method of statistical regularization based on the Bayesian approach to the regularization strategy. |
url |
https://doi.org/10.1051/epjconf/201817707005 |
work_keys_str_mv |
AT zelenyimikhail applicationofturchinsmethodofstatisticalregularization AT poliakovamariia applicationofturchinsmethodofstatisticalregularization AT nozikalexander applicationofturchinsmethodofstatisticalregularization AT khudyakovalexey applicationofturchinsmethodofstatisticalregularization |
_version_ |
1721234447568732160 |