This seminar aims to provide the fundamental theory of optimization that lies beneath the many Compressed Sensing applications, with particular regard to convex minimization and Lagrange theory.
Date: 10 MARCH 2022 from 11:00 to 13:00
Event location: Aula Arzelà - In presence and online event
Type: Seminars
FULL ABSTRACT: Compressed Sensing (CS) is a well established theory involving many areas of modern research. It concerns a family of theoretical techniques and numerical algorithms aimed to recover sparse signals by a partial knowledge of their coefficients. This process is carried out through minimization problems involving the l1-norm, that has the property to be convex, while enforcing sparsity. This seminar aims to provide the fundamental theory of optimization that lies beneath the many CS applications, with particular regard to convex minimization and Lagrange theory.