{"id":46,"date":"2018-01-08T15:30:44","date_gmt":"2018-01-08T15:30:44","guid":{"rendered":"https:\/\/edu.eledia.org\/courses\/2025.PHD.CSFPM.ESoA.TRENTO.IT\/?page_id=46"},"modified":"2025-06-17T22:22:08","modified_gmt":"2025-06-17T21:22:08","slug":"front-page","status":"publish","type":"page","link":"https:\/\/edu.eledia.org\/courses\/2025.PHD.CSFPM.ESoA.TRENTO.IT\/","title":{"rendered":"Front Page"},"content":{"rendered":"

Course Purposes<\/h3>

The course explores the transformative potential of Compressive Sensing (CS) and\nadvanced Electromagnetic Fields Signal Processing (SP) techniques in solving challenging\nproblems in Electromagnetics (EM). These methods, rooted in applied mathematics and data\nscience, provide powerful tools for addressing scenarios where acquiring or\nprocessing data is expensive, constrained, or underdetermined\u2014conditions\nfrequently encountered in modern EM applications.<\/p>\n\n

This interdisciplinary course is aimed at equipping participants with:<\/p>\n

    \n\t
  1. an introduction to the principles of compressive sensing and modern signal processing concepts of interest for EM applications;<\/li>\n\t
  2. insight into state-of-the-art algorithmic strategies for sparse reconstruction, low-rank modeling, and information extraction;<\/li>\n\t
  3. a broad overview of key applications in electromagnetic theory and engineering, where such techniques have enabled significant performance improvements and new design paradigms.<\/li>\n<\/ol>\n\n

    Theoretical concepts will be complemented with hands-on examples and exercises,\nemphasizing practical problem-solving in Electromagnetics and showcasing the\ninterplay between mathematical models and physical systems.<\/p>\n\n

    \n\tCourse Topics\n<\/h4>\n