Courses Detail Information

VE564 – Statistical Signal Processing


Instructor: Heng Qiao

Instructors (Faculty):

Credits: 3 credits

Pre-requisites:

Description:

This is a graduate-level introduction to the fundamentals of detection and estimation theory involving signal and system models in which the technical arguments are statistical. The material in this course constitutes a common foundation for work in the statistical signal processing, communication, and control areas. The goal of this course is to get you to develop new ways of thinking about signals and systems and solving problems that involve randomness. You will learn how to model real life problems to include both uncertainties and prior knowledge, and come up with efficient algorithms based on particular optimality criteria.

Course Topics:

Sample Syllabus