ECE 537

This is an advanced graduate course covering the principles of digital transmission of information. We rigorously define the amount of information and introduce information measures.

The largest portion of the course is devoted to studying how to translate information into a digital signal to be transmitted, and how to retrieve the information from the received signal. We study in-depth various digital modulation schemes through a concept of signal space. We build analytical and simulation models for digital modulation systems in presence of noise, and define the performances of digital communication systems through a probability of reliable transmission of information. We also build optimal receiver models for digital base-band and band-pass modulation schemes, and introduce iterative decoding on graphs, iterative decoding on intersymbol interference channels and constrained coding.

Assessment

• Homework: assigned but not graded
• Project: 1-2 projects
• Exams: 2 midterm exams, 1 final exam
• Typical grading policy: 30% midterms, 20% final exam, 0% homework, 0% laboratory, 50% project