作者: Jérôme Idier

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Jérôme Idier was born in France in 1966. He received the diploma degree in electrical engineering from the Ecole Superieure d”Electricité, Gif-sur-Yvette, France, in 1988, the Ph.D. degree in physics from the Universite de Paris-Sud, Orsay, France, in 1991, and the HDR (Habilitation a diriger des recherches) from the same university in 2001. Since 1991, he is a full time researcher at CNRS (Centre National de la Recherche Scientifique). He has been with the Laboratoire des Signaux et Systemes from 1991 to 2002, and with IRCCy N (Institut de Recherches en Cybernetique de Nantes (IRCCy N) since september 2002. His major scientific interest is in statistical approaches to inverse problems for signal and image processing. More specifically, he studies probabilistic modeling, inference and optimization issues yielded by data processing problems such as denoising, deconvolution, spectral analysis, reconstruction from projections. The investigated applications are mainly non destructive testing, astronomical imaging and biomedical signal processing, and also radar imaging and geophysics. Dr Idier has been involved in joint research programs with several specialized research centers: EDF (Electricite de France), CEA (Commissariat a l”Energie Atomique), CNES (Centre National d”Etudes Spatiales), ONERA (Office National d”Etudes et de Recherches Aerospatiales), Loreal, Thales, Schlumberger.




4 电子书 Jérôme Idier

Jérôme Idier: Bayesian Approach to Inverse Problems
Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a mat …
PDF
英语
DRM
€181.99
Jérôme Idier: Bayesian Approach to Inverse Problems
Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a mat …
EPUB
英语
DRM
€181.99
Jean-François Giovannelli & Jérôme Idier: 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 …
EPUB
英语
DRM
€139.99
Jean-François Giovannelli & Jérôme Idier: 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 …
PDF
英语
DRM
€139.99