EE 571 – Fall 2012
Digital Communications I
 
 

Syllabus

[download]

Textbook

J. Proakis, Digital Communications, 3rd /4th Edition, McGraw-Hill, 1995/2000.

Additional References

  1. Wozencraft and Jacobs, Principles of Communication Engineering, 1966.
  2. S. Haykin, Communication Systems, 3rd Edition, Prentice-Hall, 1994.
  3. S. Wilson, Digital Modulation and Coding, Prentice-Hall, 1995.
  4. L. Couch, Digital and Analog Communication Systems, 1987. 5. Bernard Sklar, Digital Communications: Fundamentals and Applications, Prentice-Hall, 1998.
  5. R.E. Ziemer and R. L. Peterson: Introduction to Digital Communications, 2nd Edition, 2001.
  6. S.G. Wilson: Digital Modulation and Coding, McGraw Hill, 1996.
  7. R.E. Blahut: Digital Transmission of Information, Addison Wesley, 1990.
  8. R. G. Gallager Principles of Digital Communication, under preparation, (Draft available on WebCT).

Course Description

This course is designed to introduce to the student the fundamentals of the theory of communications, in particular of digital communications. The course will provide in-depth knowledge of communication fundamentals, which include probability, random variables, stochastic processes, digital signals and their characteristics, baseband and bandpass digital communications. Performance of digital transmission in the presence of noise. Optimum detection of digital signals and performance measures.

Grading Policy

Assignments 12 %
Quizzes (2) 12 %
Matlab project 6 %
Term Paper 15 %
Midterm 20 %
Final Exam 35 %

Course Outline

Review (2½ weeks) Major concepts in analog and digital communications (EE 370), probability, random variables, and stochastic processes.
Detection Theory (2 weeks) Vector channels, detection of signals in noise, decision rules such as MAP and maximum likelihood rules, waveform channels, error probability of baseband signals.
Modulation Techniques (4 weeks) Bandpass signal representation, noise characterization in bandpass systems, orthogonal expansion of signals, phase and frequency shift keying, quadrature modulation, differentia and M-ary modulation schemes, coherent and noncoherent receivers, correlator, matched filter, and envelope detector.
Performance of Modulation Techniques (1½ weeks) Computation of the error probability for different modulation techniques and water-fall error curves.
Spectral Characterization (2½ weeks) Spectral characterization of modulation techniques, bandwidth definitions, phase shaping, spectrally efficient modulation techniques such as OQPSK, pi/4-QPSK, MSK GMSK, and CPM.