Metric entropy in linear inverse scattering
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Abstract
The role of multiple views and/or multiple frequencies on the achievable performance in linear inverse scattering problems is addressed. To this end, the impact of views and frequencies on the Kolmogorov entropy measure is studied. This way the metric information that can be conveyed back from data to the unknown can be estimated.
For the sake of simplicity, the study deals with strip scatterers and the cases of discrete angles of incidence and/or frequencies.
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