— Statistical & Digital Communication

Prerequisites & course information

Course Description: Introduction to random process models of modulated signals and noise, and analysis of receiver performance. Analog and digitally modulated signals. Signal-to-noise ratio, probability of error, matched filters. Intersymbol interference, pulse shaping and equalization. Carrier and clock synchronization. Learning Activities: Lecture 3 hour(s), Laboratory 3 hour(s). Grade Mode: Letter. General Education: Science & Engineering (SE). Learning Activities: Lecture 3 hour(s), Laboratory 3 hour(s). Grade Mode: Letter. General Education: Science & Engineering (SE).