Simone Brugiapaglia
Simon Fraser University
Scientific, Seminar
SFU MOCAD Seminar: Simone Brugiapaglia
Since its inception in the early 2000s, compressive sensing has become a well-established paradigm for efficient signal recovery, with applications ranging from medical imaging to scientific computing. More recently, data-driven reconstruction...
Scientific, Seminar
PIMS-CSC Seminar: Simone Brugiapaglia
We present the CORSING (COmpRessed SolvING) method for the numerical approximation of PDEs. Establishing an analogy between the bilinear form associated with the weak formulation of a PDE and the signal acquisition process, CORSING combines the...
Scientific, Seminar
Scientific Computation and Applied & Industrial Mathematics: Simone Brugiapaglia
We present the CORSING (COmpRessed SolvING) method for the numerical approximation of PDEs. Establishing an analogy between the bilinear form associated with the weak formulation of a PDE and the signal acquisition process, CORSING combines the...
Scientific, Seminar
SFU Applied & Computational Math Seminar Series: Simone Brugiapaglia
Compressive sensing (CS) is a general paradigm that enables us to measure objects (such as images, signals, or functions) by using a number of linear measurements proportional to their sparsity, i.e. to the minimal amount of information needed to...