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Image reconstruction in electrical capacitance tomography usually employs sensitivity matrices that map the relation between permittivity distribution and sensor readings. As a simple linearization of a highly nonlinear problem, this approach suffers from drawbacks, such as mismatches of position and size of the objects being imaged. To overcome these issues, we propose a sparse reconstruction scheme...
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