Overview
Description
Random variables and random signals, auto-correlation and cross-correlation functions, power spectral density functions, response of linear system, least squares and maximum likelihood estimation, BLUE, linear and nonlinear Kalman filtering.
Requirements
Prerequisites
EE 362STAT 352
Original catalog text
Prerequisites
Prerequisite(s): EE 362; STAT 352.
Units
Lecture3
Catalog Details
Offering
Offered: Every Fall
Terms
fall
Attributes
Standard
Learning Outcomes
- apply engineering research and theory to advance the art, science, and practice of the discipline.
- design and conduct experiments as well as to analyze, interpret, apply, and disseminate the data.
- understand research methodology.