Instructor: Dimitrios Katselis, Email: katselis@illinois.edu
Schedule: TR 14:00-15:20, online via zoom
Office Hours: Tue 4-5pm, online via zoom
Syllabus: Can be found here.
The syllabus has been updated.
Examples of final project topics can be found here.
Week 1 | Introduction, Probability and Random Processes Review |
Week 2 | WSS processes, Gaussian Processes, WGN Model |
Week 3 | Complex Baseband Representation, Signal Spaces |
Week 4 | L2 functions, Gram–Schmidt process, Digital Modulation, Common Constellations |
Week 5 | Multidimensional signals, Complex Random Variables and Vectors |
Week 6 | Optimum Reception for the AWGN Channel |
Week 7 | ML and MAP Detection, Performance of Optimum Detector for Linear Memoryless Modulation |
Week 8 | Union Bound and Nearest Neighbor Approximation, Intelligent Union Bound (Explanation), Coherent Detection |
Week 9 | Noncoherent Detection of Orthogonally Modulated Signals, Differential PSK |
Week 10 | Shannon Capacity Theorem, Signaling on Bandlimited Channels |
Week 11 | Equalization, Viterbi algorithm |
Week 12 | Linear Equalizers |
Week 13 | Signaling through Slow Flat Fading Channels, Diversity Techniques, Introduction to CDMA |
Week 14 | Multiple-Access and Broadcast Channels, TDMA, FDMA, Random Multiaccess, Direct-Sequence Spread Spectrum, Introduction to Multiuser Communications |
Problem Set | Due Date | File | Solution |
HW1 | Sep 18 | HW1 | Solution |
HW2 | Oct 14 | HW2 | Solution |
HW3 | Nov 4 | HW3 | Solution |
HW4 | Dec 4 | HW4 | Solution |
HW5 | Dec 9 | HW5 |
Problem Set | File |
Midterm (Based on HWs 1-3) | file |