Course Description
Methods of detection and estimation theory as applied to communications, speech and image processing. Statistical description of signals and representation in time, spatial and frequency domains; Baysian methods, including Wiener, Kalman and MAP filters; performance measures; applications to both continuous and discrete systems.
Spring 2026
Instructors
Meeting Patterns
Classes Start:
January 12, 2026
Classes End:
April 28, 2026
Location:
01229 Engineering Building 2
Class Days:
M W
Class Start Time:
10:15am
Class End Time:
11:30am
Class Type:
Lecture
Credits:
3.00
Restrictions:
Restricted: ECE Graduate Students Only