@techreport{elediasc12917,
            year = {2025},
            type = {Technical Report},
          author = {Marco SALUCCI and Lorenzo POLI and Francesco ZARDI and Luca TOSI and Samantha LUSA and Andrea MASSA},
           title = {Bayesian Compressive Sensing in Multi-Resolution Contrast Source Estimation},
       publisher = {ELEDIA Research Center - University of Trento},
             url = {http://www.eledia.org/students-reports/917/},
        abstract = {This work proposes a sophisticated multi-step inverse scattering strategy within the contrast source inversion (CSI) framework to reconstruct non-Born scatterers. It adopts a multi-resolution (MR) scheme to represent contrast sources, which are iteratively estimated using a Bayesian compressive sensing (BCS) algorithm that encourages sparse solutions. The method's accuracy and stability are confirmed through extensive testing. Benchmark comparisons demonstrate the approach?s strong performance relative to contemporary advanced techniques.},
        keywords = {microwave imaging (MI), contrast source inversion (CSI), Bayesian compressive sensing (BCS), inverse scattering (IS)}
}