Lecture Schedule

Week Subjects
1 Introduction and overview of array imaging (setup, the medium, structure of the data). Imaging in deterministic media.
2 Array imaging as a nonlinear least squares inverse problem. The forward problem and linearization. Adjoint operator and its time reversal interpretation. Kirchhoff migration.
3 Resolution theory for narrowband and broadband signals.
4 Optimal illumination and the singular value decomposition.
5 Introduction to optimization algorithms in imaging.
6 More on optimization methods.
7 Random media and interferometric array imaging in them.
8 Adaptive imaging algorithms.
9 Adaptive imaging algorithms and review.