ECE 751 Detection and Estimation Theory
3 Credit Hours
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.
Prerequisite
Random Processes (NC State ECE 514)
Introduction to Signal Processing (NC State ECE 421)
Calculus, Linear Algebra (vector and Matrix operations)
Course Objectives
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
Course Outcomes
This course will acquaint students with the basic elements of statistical detection and estimation theory. The material covered will provide students with the ability to comfortably read a research paper, and conduct studies where detection and estimation concepts are needed.
Course Requirements
| Homework | 20% |
| Participation (quizzes, other) | 10% |
| Projects (paper, software) | 30% |
| Midterm Exam | 20% |
| Final Exam | 20% |
Textbook
This textbook is required.
Detection, Estimation, and Modulation Theory Part I: Detection, Estimation and Filtering Theory, Second Edition – Harry L. Van Trees, Kristine L. Bell, Zhi Tian, Wiley 2013
Edition: second
ISBN: 978-0-470-54296-5
Cost:~ $76 electronic, $118 hardcover,
FREE online/download via N.C. State Libraries https://www.lib.ncsu.edu/
(Adobe Digital Editions, make sure 2nd edition, blue cover, multiple authors!)
Computer and Software Requirements
Please review minimum computer specifications recommended by NC State University and Engineering Online.
MATLAB(R) which is available free through the university
Updated 110/31/2022