TY  - RPRT
PB  - U
KW  - Compressive Sensing
KW  -  Inverse Scattering
KW  -  Array Synthesis

AV  - public
A1  - Poli, L.
A1  - Oliveri, G.
A1  - Viani, F.
A1  - Massa, A.
ID  - elediasc12657
N2  - This report is aimed at validating an innovative and efficient procedure, still within the CSI probabilistic framework, able to reliably retrieve sparse complex current coefficients by enforcing the interrelationships between their real and imaginary components exploiting a multi-task approach. Towards this end, a set of numerical experiments are proposed, comparing the performance of the multi-task approach with the standard single-task version with uncorrelated coefficients associated to the real and imaginary part of the currents.
M1  - technical_report
Y1  - 2014///
UR  - http://www.eledia.org/students-reports/657/
TI  - A three-step inversion method based on compressive sensing for imaging sparse scatterers
ER  -