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A Trained Regularization Approach Based on Born Iterative Method for Electromagnetic Imaging
The iterative utilization of the regularization network in TISTA is a bottleneck that demands high memory allocation through the training process.
ANN-assisted CoSaMP Algorithm for Linear Electromagnetic Imaging of Spatially Sparse Domains
Greedy pursuit algorithms (GPAs) are widely used to reconstruct sparse signals.
An Accelerated Nonlinear Contrast Source Inversion Scheme For Sparse Electromagnetic Imaging
An efficient nonlinear contrast source inversion scheme for electromagnetic imaging of sparse two-dimensional investigation domains is proposed.
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