ECE 552 Detection Theory
Signal detection in white and colored noise. Random waveform. Matched filtering. M-ary signal detection, nonparametric detection, sequential hypothesis testing, decision theoretic schemes. Applications in communication and radar signal processing.
Credit Hours: 3 Lecture
Prerequisites: ECE
551 or consent of instructor
Course Coordinator:
R. Viswanathan
Textbooks:
"Introduction to Statistical Signal Processing With Applications",
M.D. Srinath, P.K. Rajasekaran, and R. Viswanathan, Prentice Hall, 1996, ISBN: 0-13-125295-x.
References:
H L. Van Trees, Detection, "Estimation, and Modulation Theory, Volume 1", Wiley, 1971.
H.V. Poor, "An Introduction to Signal Detection and Estimation", Springer-Verlag, 1994.
J.M. Wozencraft and I.M. Jacobs, "Principles of Communication Engineering", Wiley, 1965.
Goals:
To provide electrical and computer engineering majors with the ability to derive optimal tests for the detection of signals in additive white/ colored Gaussian noise.
To familiarize the students with the application of statistical theory of testing to radar signal detection and communication systems.
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To provide the students with the ability to carry out performance analysis of communication/radar receivers.
Projects:
Matlab simulation exercises included as part of home work assignment.
Computer Tools: Matlab
Last Review: Spring Semester 2004
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