TE 386 — Digital Communication Systems
BSc BSc Electrical/Electronic Engineering · Kwame Nkrumah University of Science and Technology
Signal sources and types. Random signals and noise: Power spectral density and autocorrelation. The Gaussian Processes. Discrimination between finite number of possible signals. The optimal receiver of known signals embedded in additive white Gaussian noise. The correlation receiver, matched filter and the associated probability of error. Modulation methods: ASK, PSK, FSK, MSK. Applications to PCM and radar. Efficient signal design for binary communication. Detection of signals with unknown phase.
- Credits
- 3
- Level
- Year Three
Other courses on this programme
- COE 381 — Microprocessors
- COE 382 — Digital Computer Design
- EE 360 — High Voltage Engineering
- EE 362 — Substation & Transmission Lines Design
- EE 365 — Electrical Services Design
- EE 366 — Power Electronics
- EE 367 — Power Generation & Supply
- EE 368 — Power Systems Analysis
- EE 371 — Linear Electronic Circuits
- EE 380 — Digital Control Systems
- EE 387 — Classical Control System
- MATH 351 — Numerical Analysis
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Start freeCourse details from Details of Syllabus - Department of Electrical Engineering, KNUST.