Apr 14, 2024  
2022-2023 Academic Catalog 
2022-2023 Academic Catalog [ARCHIVED CATALOG]

MAT 314-01 - Topics in Applied Mathematics: Compressed Sensing

4 credits (Spring)
Compressed Sensing. An exploratory introduction to advanced numerical linear algebra and optimization techniques and their application to signal processing via compressed sensing. Through an inquiry-based approach, the course covers the theory and implementation of singular value decompositions, least squares solutions, function spaces, sparse representations, discrete orthogonal system, foundations of compressing sensing, restricted isometries, iterative algorithms, and convex optimization. 

Prerequisite: MAT 218  or MAT 313 
Instructor: Blanchard