Course Instructor
Dr. Ketan Rajawat
Course Description
Objective: Convex optimization has recently been applied to a wide variety of problems in EE, especially in signal processing, communications, and networks. The aim of this course is to train the students in application and analysis of convex optimization problems in signal processing and wireless communications. At the end of this course, the students are expected to:
- Know about the applications of convex optimization in signal processing, wireless communications, and networking research.
- Be able to recognize convex optimization problems arising in these areas.
- Be able to recognize ‘hidden’ convexity in many seemingly non-convex problems; formulate them as convex problems.
- Be able to develop low-complexity, approximate solutions for difficult non-convex problems.