The main goal of this course is to bridge the gap between introductory signal processing classes (EE430) and the mathematics prevalent in signal processing research and practice, by providing a unified applied treatment of fundamental mathematics and vector-space framework.

Course Objective 1: Students will gain an understanding of basic vector space methods prevalent in signal processing research and practice.

Course Objective 2: Students will be able to apply the learned mathematical tools and algorithms to deterministic and stochastic signal processing problems