Course Information

Instructor: Muriel Medard

Lectures

1.  Introduction/ Signal representation in time and frequency.
2. Signal representation in time and frequency.
3. Signal representation in time and frequency.
4. Vector spaces and projections.
5. Probabilistic descriptions.
6. Quantization and distortion.
7. Quantization and distortion.
8. Compression.
9. Compression.
10. Channel coding and decoding.
11. Channel coding and decoding.
12. Channel coding and decoding.
13. Modulation and noise.
14. Modulation and noise.
15. Modulation, noise and coding.
16. Multiple access.
17. Multiple access.
18. Packets.
19. Packets and erasures.
20. Congestion and queues.
21. Congestion and queues.
22. Congestion and queues.
22. TCP/IP.
24. Protocols

Homework – all lab based

1. Sampling and representation.
2. Source coding: Quantization, compression.
3. Channel Coding and decoding.
4. Modulation.
5. Multiple access and packets.
6. Queuing, congestion, protocol.