REQUIRED TEXTBOOK:  None
REFERENCE TEXTS:  

  • A. D. Whalen, Detection of Signals in Noises, Academic Press, 2nd Ed. 1995.
  • H. L. Vantrees, Detection, Estimation and Modulation Theory, Part 1, John Wiley, 1968.
  • C. W. Helstrom, Statistical Theory of Signal Detection, 2nd ed., Pergamon Press, 1975.
  • H. V. Poor, An Introduction to Signal Detection and Estimation, Springer-Verlag, 1988

COURSE COORDINATOR:  C.C. Lee

INSTRUCTOR: C.C. Lee

PREREQUISITES: Fourier transform, signals and systems, probabilities and random processes.

DETAILED COURSE TOPICS

1. Problem description and review of mathematical background
2. Testing of statistical hypotheses: Baysian, Minimax, and Neyman-Pearson optimum criteria
3. Locally optimum procedures and detector comparison techniques
4. (Continuous-time) detection of a known signal
5. Detection of signal with random parameters
6. Multiple pulse detection of radar signals
7. Nonparametric detection
8. Estimation of signal parameters
9. Special topics (as time permits); Sequential Tests, Distributed Detection, Mathematical Reasoning

GRADES

  • Homework 50%
  • Final Exam – 50%

COURSE OBJECTIVES

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