In this second talk I will show how stochastic analysis, through limit theorems, can be used to derive refocusing and super-resolution for time reversed acoustic waves. This will be done in the context of separation of scales in the two extreme regimes of finely layered random media and parabolic and white noise approximation. I will explain how stochastic differential equations and stochastic partial differential equations naturally arise in the limit and how the powerful tool of stochastic calculus is used. Simulations and numerical issues will be discussed by Mansoor Haider in a third talk at the end of the semester.