Lecture Notes and Assignments
The lectures were recorded and are available on YouTube
Monday October 14
Lecture 1 notes: basis expansion fundamentals
Lecture 2 notes: overview of sparsity theory and applications
Lecture 3 notes: sparse approximation algorithms
Homework 1
You will need the file hw1problem3.mat.
Tuesday October 15
Lecture 4 notes: uncertainty principles for unions of bases
Lecture 5 notes: overview of compressive sensing
Thursday October 17
Lecture 6 notes: L1 minimization: duality and optimality
Lecture 7 notes: L1 recovery with the restricted isometry property
Lecture 8 notes: stability of L1 recovery
Homework 3; you will need the files l1eq_pd.m, Gaussian_Phi.m, SubDCT_Phi.m, and SubToep_Phi.m.
Friday October 18
Lecture 9 notes: the RIP for Gaussian matrices
Lecture 10 notes: low rank recovery and bilinear problems
Lecture 11 notes: dynamic l1 recovery
© 2013 Justin Romberg