Digital Communication | Department of Electrical Engineering

Digital Communication

• Introduction and Overview of Digital Communication Systems and Principles, Model, Analog vs. Digital Communication, Sampling, Quantization, PCM
• Concept of Probability and Random variable: characterization and Pdfs
• Geometric representation of Signal waveforms: Gram Schmidt procedure, Constellations
• Digital modulation and demodulation schemes: performance analysis and comparison
• Synchronization and Channel equalization
• Digital Transmission: ISI, Matched filter, Maximum Likelihood detector, Transmitter, Receiver designs
• Channel capacity, Coding and Decoding, Source Coding, Information Measure, Introduction to Error control: Viterbi, Linear Block codes, Convolution Codes, Hamming, and Turbo codes.
• Introduction to Multiple Access Communication, Spread spectrum communications, OFDM

Course Code: 
EED350
Course Credits: 
4.00
Course Level: