ELEDIA Turns 20!
ELEDIA Turns 20! It was back in October-November 2000 that the ELEDIA brand began to circulate in an official form…
ELEDIA Artificial Intelligence Research Blog is online!
The ELEDIA Artificial Intelligence Research Blog (E-AIR Blog) has been launched! Check out our latest advancements on Artificial Intelligence as applied…
Dr. R. J. MAILLOUX awarded "Bruno Kessler" Honorary Professor
The ELEDIA Research Center is pleased to announce that Dr. Robert J. MAILLOUX will receive the title of Honorary Professor…

We are pleased to announce that our paper on Electromagnetic field strength prediction has been published in the in the IEEE Antennas and Wireless Propagation Letters:

B. Li, M. Salucci, W. Tang, and P. Rocca, "Reliable field strength prediction through an adaptive total-variation CS technique,” IEEE Antennas and Wireless Propagation Letters , vol.  19, no. 9, pp. 1566-1570, September 2020 (DOI: 10.1109 / LAWP.2020.3010410).
The prediction of the 2-D electric field strength distribution from a limited set of measurements and without any prior information on the source is addressed in this letter. Towards this aim, an innovative sparseness-promoting approach is presented based on the profitable integration of a total-variation compressive sensing (TV-CS) recovery technique with the LOLA Voronoi adaptive sampling strategy. From the one hand, sparsity priors are enforced on the discrete gradient of the unknown field strength allowing to exploit physical knowledge on the addressed problem. On the other hand, the LOLA Voronoi approach enables a reduction of the number of field samples and to properly build the TV-CS observation operator.Representative numerical results are discussed to assess, also comparatively, the potentialities and features of the proposed method.