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Bayesian Compressive Imaging of Non‐Weak Scatterers through the Born Iterative Method
This work deals with the problem of imaging non‐weak scatterers in the Compressive Sensing (CS) framework. Towards this end, an innovative hybrid Born Iterative Compressive Sensing method has been developed, by suitably formulating the non‐linear inverse scattering (IS) problem at hand within the Born Iterative (BI) framework and exploiting a customized version of the single‐task Bayesian CS (ST‐BCS) solution method. Selected numerical results are shown to assess the potentialities of the proposed IS methodology when dealing with several types of unknown scatterers and processing noisy data with different signal‐to‐noise ratios.
ELEDIA Research Center - University of Trento
Bayesian Compressive Imaging of Non‐Weak Scatterers through the Born Iterative Method (Text)
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HTML Summary of #797 Bayesian Compressive Imaging of Non‐Weak Scatterers through the Born Iterative Method
A WC Next Generation Wireless Communications
M CS Compressive Sensing