ECE 5430 - Random Processes (3)

Analysis of random phenomena associated with communications, signal processing, and computer engineering applications. Investigation of random binary signals, thermal noise, and Markov processes in communications, data mining, and machine learning. Applications include optimal filtering, estimation theory, Kalman filtering, online filtering, social networking, and queuing theory

Prerequisite(s): ECE Major; graduate standing; and ECE 3715, ECE 315, or upper-division undergraduate course in probability.
Component(s): Lecture
Grading Basis: Graded Only
Repeat for Credit: May be taken only once
Course Category: Major Course