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• W3102677480 abstract "The Iterative Born Approximation (IBA) is a well-known method for describing waves scattered by semi-transparent objects. In this paper, we present a novel nonlinear inverse scattering method that combines IBA with an edge-preserving total variation (TV) regularizer. The proposed method is obtained by relating iterations of IBA to layers of a feedforward neural network and developing a corresponding error backpropagation algorithm for efficiently estimating the permittivity of the object. Simulations illustrate that, by accounting for multiple scattering, the method successfully recovers the permittivity distribution where the traditional linear inverse scattering fails." @default.
• W3102677480 created "2020-11-23" @default.
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• W3102677480 date "2016-08-01" @default.
• W3102677480 modified "2023-10-17" @default.
• W3102677480 title "A Recursive Born Approach to Nonlinear Inverse Scattering" @default.
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• W3102677480 doi "https://doi.org/10.1109/lsp.2016.2579647" @default.
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