EE 782 - Random Signal Analysis and Estimation Theory

(3 units)

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.

Prerequisite(s): EE 362; STAT 352.

Grading Basis: Graded
Units of Lecture: 3
Offered: Every Fall

Student Learning Outcomes
Upon completion of this course, students will be able to:
1. apply engineering research and theory to advance the art, science, and practice of the discipline.
2. design and conduct experiments as well as to analyze, interpret, apply, and disseminate the data.
3. understand research methodology.

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