Course Description
Probabilistic descriptions of signals and noise, including joint, marginal and conditional densities, autocorrelation, cross-correlation and power spectral density. Linear and nonlinear transformations. Linear least-squares estimation. Signal detection.
Fall 2022
Instructors
Meeting Patterns
Classes Start:
August 22, 2022
Classes End:
December 5, 2022
Location:
01005 Engineering Building I
Class Days:
M W
Class Start Time:
10:15am
Class End Time:
11:30am
Class Type:
Lecture
Credits:
3.00
Restrictions:
Prerequisite: ECE graduate students and ECE undergrads with a 3.5 or higher GPA
