Föreläsningar
There are 13 lectures in the course, given by Stefan Höst in E2311, and 7 exercises by Yezi Huang in E:4119.
Below is a preliminary lecture plan with problems connected to each lecture.
Solutions for problems: Solutions.pdf.
The planning might change along the course:
Under construction:
Cal week | Lecture | Topic | Part in book |
12 | L1 21/3 | Information measures | 3.1-3.2 |
L2 23/3 | Properties of information measures | 3.2-3.3 | |
13 | L3 30/3 | Information measures of processes | 3.4, 4.1 |
E1 31/3 | (2.1-2.6), 3.3-3.11, 3.14-3.16 | ||
L4 1/4 | Optimal source coding and Huffman coding | 4.2-4.3 | |
14 | E2 7/4 | 3.20-3.22, 3.24, 4.1-4.3, 4.5-4.8, 4.10, 4.11 | |
15 | L5 11/4 | LZ codes | 5.2 |
L6 13/4 | AEP and its consequences | 6.1-6.2 | |
E3 14/3 | 5.1, 5.3-5.5, 6.1-6.3 | ||
16 | L7 18/4 | Capacity for DMC | 6.3-6.5 |
L8 20/4 | Channel coding | 7.1-7.2 | |
E4 21/4 | 6.5, 6.7, 6.8,6.10, 6.11, 6.13a, 6.14, 7-.1-7.3 | ||
17 | Nothing scheduled | ||
18 | L9 2/5 | Information measures for continuous variables | 8.1-8.2 |
L10 3/5 | Gaussian channel | 9.1-9.2 | |
E5 4/5 | 8.1-8.7, 9.2-9.5 | ||
19 | Retake exam week | ||
20 | L11 16/5 | OFDM, MIMO, Fundamental limit (see below) | 9.3 |
L12 18/5 | Discrete input Gaussian channel | 10.1-10.4 | |
E6 19/5 | 9.6, 10.1-10.5, 10.7 | ||
21 | L13 23/5 | Reserve | Ch 3-10 |
E7 25/5 |
Updated material on n-dimensional Gaussian distribution: InfoTheory2016-nDimGauss.pdf
New material on capacity for MIMO channel: InfoTheory2016-MIMO.pdf