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 Ebook di 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
Inglese
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
Inglese
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
Inglese
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
Inglese
DRM
€139.99