作者: Natalia Denisova
DOI: 10.1088/0963-0252/13/3/020
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摘要: Computed tomography is a powerful tool for plasma diagnostics. Unfortunately, viewing access in many experiments strongly limited, which leads to highly underdetermined ill-posed problem. A maximum posteriori (MAP) algorithm promising statistical approach this In paper, we study the MAP yields most probable image estimate from limited and noisy data. An adaptive chi-square criterion proposed control quality of reconstruction. improvement reconstruction over conventional tomographic methods, such as algebraic technique entropy algorithm, illustrated by several numerical examples.