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• W2786343819 abstract "Using an electric field integral equation formulation, we perform a comparative study between linear and nonlinear microwave imaging with adaptive total variation regularization. It is well known that linearized methods fail for higher values of dielectric contrasts. So, it is important to investigate nonlinear methods which are valid for higher contrasts. However, these methods have the challenge of dealing with computationally expensive computations of the cost-function gradients; in this paper, we propose a fast gradient computation using the conjugate-gradient fast Fourier transform. Further, we impose a total variation based regularization where the regularization parameter is adaptively estimated using a Bayesian approach, and minimize the cost function using a majorization-minimization algorithm. Finally, we compare the performance and computational costs of using the nonlinear optimization method." @default.
• W2786343819 created "2018-02-23" @default.
• W2786343819 creator A5007359654 @default.
• W2786343819 creator A5064557258 @default.
• W2786343819 date "2017-11-01" @default.
• W2786343819 modified "2023-09-25" @default.
• W2786343819 title "Two-dimensional non-linear microwave imaging with total variation regularization" @default.
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• W2786343819 doi "https://doi.org/10.1109/piers-fall.2017.8293370" @default.
• W2786343819 hasPublicationYear "2017" @default.
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