Overview

This course covers the basic principles of digital communication system. More specifically, it covers the following topics:

• The effect of noise and ISI in digital communications systems.
• The concept of matched filtering and illustrate its importance in the digital communications receivers design.
• Error rate calculation due to presence of noise.
• The Nyquist criterion for pulse shaping for zero ISI.
• The signal-space concept and introduce the Gram-Schmidt Orthogonalization procedure.
• The likelihood function, the MAP and the ML decision rules.
• The union bound as a tool for error rate calculation.
• Different passband digital communications schemes: ASK, PSK and FSK and their performance.

Course Material

• Slide Set 1: Introduction
• Slide Set 2: Matched Filters
• Slide Set 3: Inter-Symbol Interference
• Slide Set 4: Signal Space Analysis
• Slide Set 5: Maximum Likelihood (ML) Decoding
• Slide Set 6: Pass Band Data Transmission and BPSK
• Slide Set 7: QPSK,, M--ary PSK, M--ary QAM
• Slide Set 8: Coherent/Non-coherent FSK and DPSK

Homework

• Homework 1
• Homework 2
• Homework 3
• Homework 4

Textbook

• Communication Systems, 5th edition, Simon Haykin

Useful Resources

• Modern Digital and Analog Communication Systems, 3rd edition, B. P. Lathi

Projects

• Term Project

Grading Policy

• 40%: Final Exam
• 20%: Midterm
• 10%: Quiz (Best 2 out 3)
• 10%: Project
• 10%: Assignments
• 10%: Lab

 

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