COURSE TITLE: 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 TEXT: 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: M. 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.