A Statistical Detection of an Anomaly from a Few Noisy Tomographic Projections
نویسندگان
چکیده
The problem of detecting an anomaly/target from a very limited number of noisy tomographic projections is addressed from the statistical point of view. The imaged object is composed of an environment, considered as a nuisance parameter, with a possibly hidden anomaly/target. The GLR test is used to solve the problem. When the projection linearly depends on the nuisance parameters, the GLR test coincides with an optimal statistical invariant test.
منابع مشابه
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ورودعنوان ژورنال:
- EURASIP J. Adv. Sig. Proc.
دوره 2005 شماره
صفحات -
تاریخ انتشار 2005