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- W2972415749 abstract "We present a multiplicative regularized Gauss-Newton inversion algorithm that is capable of incorporating prior spatial information about the object being imaged. In this approach, in addition to the standard weighted L 2 norm total variation multiplicative regularizer, we utilize another regularization term to enforce the available structural information. This algorithm is designed so that it can work with partial (incomplete) prior spatial information." @default.
- W2972415749 created "2019-09-19" @default.
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- W2972415749 date "2019-03-01" @default.
- W2972415749 modified "2023-09-26" @default.
- W2972415749 title "A Multiplicative Regularizer to Incorporate Prior Spatial Data in Microwave Imaging Reconstruction" @default.
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