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Regularization and Bayesian methods for inverse problems in signal and image processing
The focus of this book is on "ill-posed inverse problems". These problems cannot be solved only on the basis of observed data. The building of solutions involves the recognition of other pieces of a priori information. These solutions are then specific to the pieces of information taken in...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Wiley
2015
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/1999857 |
| _version_ | 1780945939406520320 |
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| author | Giovannelli , Jean-François Idier , Jérôme |
| author_facet | Giovannelli , Jean-François Idier , Jérôme |
| author_sort | Giovannelli , Jean-François |
| collection | CERN |
| description | The focus of this book is on "ill-posed inverse problems". These problems cannot be solved only on the basis of observed data. The building of solutions involves the recognition of other pieces of a priori information. These solutions are then specific to the pieces of information taken into account. Clarifying and taking these pieces of information into account is necessary for grasping the domain of validity and the field of application for the solutions built. For too long, the interest in these problems has remained very limited in the signal-image community. However, the community has si |
| id | cern-1999857 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2015 |
| publisher | Wiley |
| record_format | invenio |
| spelling | cern-19998572021-04-21T20:26:19Zhttp://cds.cern.ch/record/1999857engGiovannelli , Jean-FrançoisIdier , JérômeRegularization and Bayesian methods for inverse problems in signal and image processingMathematical Physics and MathematicsThe focus of this book is on "ill-posed inverse problems". These problems cannot be solved only on the basis of observed data. The building of solutions involves the recognition of other pieces of a priori information. These solutions are then specific to the pieces of information taken into account. Clarifying and taking these pieces of information into account is necessary for grasping the domain of validity and the field of application for the solutions built. For too long, the interest in these problems has remained very limited in the signal-image community. However, the community has siWileyoai:cds.cern.ch:19998572015 |
| spellingShingle | Mathematical Physics and Mathematics Giovannelli , Jean-François Idier , Jérôme Regularization and Bayesian methods for inverse problems in signal and image processing |
| title | Regularization and Bayesian methods for inverse problems in signal and image processing |
| title_full | Regularization and Bayesian methods for inverse problems in signal and image processing |
| title_fullStr | Regularization and Bayesian methods for inverse problems in signal and image processing |
| title_full_unstemmed | Regularization and Bayesian methods for inverse problems in signal and image processing |
| title_short | Regularization and Bayesian methods for inverse problems in signal and image processing |
| title_sort | regularization and bayesian methods for inverse problems in signal and image processing |
| topic | Mathematical Physics and Mathematics |
| url | http://cds.cern.ch/record/1999857 |
| work_keys_str_mv | AT giovannellijeanfrancois regularizationandbayesianmethodsforinverseproblemsinsignalandimageprocessing AT idierjerome regularizationandbayesianmethodsforinverseproblemsinsignalandimageprocessing |