TSKS01 Digital Communication
Course program autumn 2009
Lectures
Please observe that the following schedule should be interpreted as an indication about approximately when different topics are treated.
| Lecture n:o | Chapter | Main topic | Part |
|---|---|---|---|
| 1 | 1 | Introduction | Course plan, applications, prerequisites. |
| 2 | Repetition | Signals and systems, primarily Fourier transforms. | |
| 3, notes | Channel models | Cable channels | |
| extra | Channel models | Optical channels. | |
| 2 | 3 | Channel models | Thermal noise, radio channels. |
| 3 | 4 | Digital modulation | The vector model. Vector spaces, geometrical interpretation of signals, representation of white Gaussian noise, orthogonalization. |
| 4 | 5 | Digital modulation | Detection of signals disturbed by white gaussian noise. Correlation receivers, matched filter receivers. ML-detection, MAP-detection. Union bound, nearest-neighbour approximation. |
| 5 | 6 | Digital modulation | Modulation. Symbol error probability - bit error probability. Digital modulation techniques, On-off-keying, PSK, FSK, QAM, OFDM. |
| 6 | extra | Digital modulation | Power spectral densities of digital modulation. |
| 7 | - | Digital modulation | Rounding up digital modulation. |
| 8-9 | 7 | Channel Coding | Error correcting codes, dimension, redundancy, rate. Linear codes, repetition codes, Hamming codes, product codes. Possibly cyclic codes. |
| 10-11 | 8 | Source Coding | Sources without memory - sources with memory, Markov sources. Tree codes, Krafts inequality, Huffman codes, run length coding, arithmetic coding. |
| 12 | - | Conclusions | A few words about the different parts of the course. |
