@mastersthesis{elediasc1297,
          school = {University of Trento},
          author = {E. T. Bekele},
           title = {Sparse Conformal Array Synthesis exploiting Bayesian Compressive Sensing},
            year = {2012},
        abstract = {The design of sparse arrays can be carried out with several techniques, including optimization approaches (GA, SA, PSO) and matrix-pencil techniques. Recently, the exploitation of Bayesian Compressive Sampling has been proposed as a powerful tool to design sparse arrays with arbitrary patterns. Such an approach essentially exploits the capability of BCS to reliably reconstruct arbitrary functions with a sub-Nyquist sampling.However, such a technique has been applied only to linear apertures, which represent only a specific case to be taken into account in practical scenarios. As a consequences, the objective of the activity will be that of extending the above methodology to conformal apertures.},
             url = {http://www.eledia.org/students-reports/97/},
        keywords = {DCM}
}