EECS 478 - Advanced Digital Communications
CATALOG DESCRIPTION: Digital modulation, complex baseband signaling, multicarrier modulation, sequence estimation, the Viterbi algorithm, probability of error analysis, equalization.
REQUIRED TEXTS: E. A. Lee, D. G. Messerschmitt, and J. Barry, Digital Communication, Kluwer Academic Publishers, 3rd Ed., 2004.
REFERENCE TEXT: J. G. Proakis, Digital Communications, 5th Ed., McGraw-Hill, 2006.
COURSE DIRECTOR: Prof. Michael Honig
COURSE GOALS: To provide first-year graduate students with an understanding of design and performance analysis techniques for digital communication systems with power and bandwidth constraints.
PREREQUISITES BY COURSES: 422, 378, 359
PREREQUISITES BY TOPIC:
ITEM 1: Probability and random processes
ITEM 2: Frequency-domain (spectral) analysis
ITEM 3: Familiarity with z-transforms.
DETAILED COURSE TOPICS:
1. Review of digital modulation
2. Baseband signaling and pulse shaping
3. Passband Pulse- and Quadrature-Amplitude Modulation
4. Multi-carrier modulation
5. Maximum-likelihood detection 6. Whitened matched filter
7. Viterbi algorithm
8. Probability of error
9. Linear equalization
10. Decision-feedback equalization
COMPUTER PROJECTS: Optional.
LABORATORY PROJECTS: None.
GRADES: A weighted combination of problem sets, midterm, and final.
COURSE OBJECTIVES: When a student completes this course, s/he should be able to:
1. Construct time- and frequency-domain models for digital communications systems with linear channels and additive noise.
2. Design the optimal receiver when the noise is Gaussian.
3. Design linear and decision-feedback equalizers.
4. Evaluate and compare the performance of the preceding techniques.