Bayesian Approach to Inverse Problems: Idier/Bayesian
Bayesian Approach to Inverse Problems: Idier/Bayesian
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DOI:
10.1002/9780470611197
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发表时间:
2010-01
期刊:
影响因子:
--
通讯作者:
J. Idier
中科院分区:
文献类型:
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作者:
J. Idier
Part 1: Fundamental problems and tools. Chapter 1. Inverse problems, ill-posed problems (Guy Demoment, Jerome Idier). Chapter 2. Main approaches to the regularization of ill-posed problems (Guy Demoment, Jerome Idier). Chapter 3. Inversion within the probabilistic framework (Guy Demoment, Yves Goussard). Part 2: Deconvolution. Chapter 4. Inverse filtering and other linear methods (Guy Le Besnerais, Jean-Francois Giovannelli, Guy Demoment). Chapter 5. Deconvolution of spike trains (Frederic Champagnat, Yves Goussard, Stephane Gautier, Jerome Idier). Chapter 6. Deconvolution of images (Jerome Idier, Laure Blanc-Feraud). Part 3: Advanced problems and tools. Chapter 7. Gibbs-Markov image models (Jerome Idier). Chapter 8. Unsupervised problems (Xavier Descombes, Yves Goussard). Part 4: Some applications. Chapter 9. Deconvolution applied to ultrasonic non-destructive evaluation (Stephane Gautier, Frederic Champagnat, Jerome Idier). Chapter 10. Inverse problems in optical imaging through atmospheric turbulence (Laurent Mugnier, Guy Le Besnerais). Chapter 11. Spectral characterization in ultrasonic Doppler velocimetry (Jean-Francois Giovannelli, Alain Herment). Chapter 12. Tomographic reconstruction from few projections (Ali Mohammad-Djafari, Jean-Marc Dinten). Chapter 13. Diffraction tomography (Herve Carfantan, Ali Mohammad-Djafari). Chapter 14. Imaging from low-intensity data (Ken Sauer, Jean-Baptiste Thibault).