ECE 4250
Last Updated
- Schedule of Classes - January 15, 2024 7:50PM EST
- Course Catalog - January 15, 2024 7:28PM EST
Classes
ECE 4250
Course Description
Course information provided by the Courses of Study 2023-2024.
This course introduces discrete-time signal and system models in deterministic and stochastic settings and develops signal processing and statistical inference methodologies for real-time sensing and control applications. The course is intended for upper-level undergraduate and beginning graduate engineering students in engineering departments.
When Offered Fall.
Prerequisites/Corequisites Prerequisite: MATH 1920 and MATH 2940, ECE 3100, or equivalent course that satisfies ECE probability requirements, ECE 2720 and ECE 3250, or equivalent courses.
Outcomes
- Be able to obtain impulse response from frequency and state-space models and vice versa. Be able to analyze system stability, reachability, and observability given a linear time-invariant state space model.
- Be able to design and implement state and observer-based feedback systems that stabilize an unstable system.
- Be able to understand stationary and wide-sense stationary models of discrete-time signal and the notion of power spectrum density of a wide-sense stationary process.
- Be able to solve signal estimation and detection problems under parametric and state-space models, including implementing Wiener and Kalman filtering techniques for estimation, and using matched filtering in signal detection.
Regular Academic Session. Choose one lecture and one discussion. Combined with: ECE 5250
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
- TR Hollister Hall 306
- Aug 21 - Dec 4, 2023
Instructors
Tong, L
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W Hollister Hall 401
- Aug 21 - Dec 4, 2023
Instructors
Tong, L
-
Additional Information
Instruction Mode: In Person
Share
Disabled for this roster.