Communication Systems I
Review of probability theory, signals and noise; digital communication over Gaussian noise channels, optimal receiver design, modulation techniques and error performance calculations; measure of information, source coding, symbol and stream codes; channel coding, capacity, simple linear block codes; practical applications.
3 credits
Prerequisites: |
| ELEC 221 – Signals and Systems |
| AND ONE of |
| ELEC 321 – Stochastic Signals and Systems |
| MATH 302 – Introduction to Probability |
| MATH 318 – Probability with Physical Applications |
| STAT 251 – Elementary Statistics |
| STAT 302 – Introduction to Probability |
| STAT 357 – Stochastic Signals and Systems |