Imaging & Inverse Problems in Electrical & Computer Engineering Systems

Catalog description

This course addresses the foundations of inverse problems in robotics and IoT systems. The list of topics includes image sensors; different types of noise; Gaussian and Poisson distributions; estimation techniques; denoising; total variation regularizations; weak signals and photon limit; variance stabilizing transforms; motion estimation under noise; noise estimation. Foundations covered in this course are emphasized with a class project. Prerequisites: EECE 304 and EECE 306 .