Schedule
Preliminary schedule
All lectures and exercise classes are in E:2349 (Köket).
The lecture schedule is given below. Each lecture is (except for the Introduction) followed by a compulsory exercise class on the following Monday (e.g., the exercise class for Chapter 3 is on Monday November 1). The lectures are based on the corresponding chapters in the course book (S.. Kay, Fundamentals of Statistical Signal Processing: Detection Theory, Prentice Hall).
Chapter | Topic | Student | Senior | Date |
1 & 2 | Introduction (Chapters 1 & 2 are self study) |
-- |
OE |
Oct 19 |
3 | Statistical Decision Theory I | Isael | FR | Oct 26 |
4 | Deterministic Signals | Taimoor | BM | Nov 2 |
5 | Random Signals | Meifang | FR | Nov 9 |
6 | Statistical Decision Theory II | Pablo | BM | Nov 16 |
7 | Deterministic Signals with Unknown Parameters | Nafiseh | OE | Nov 23 |
8 | Random Signals with Unknown Parameters | Farzad | FR | Nov 30 |
9 | Unknown Noise Parameters | Marco | BM | Dec 7 |
10 | NonGaussian Noise | Reza | OE | Dec 14 |
12 | Model Change Detection | Xiang | FR | Jan 18 |
13 | Complex/Vector Extensions, and Array Processing | Peter | OE | Jan 18 |
Extra | Transition from continuous time to discrete time | Senior | Jan 25 |
Preparing your lecture
Each student gives one lecture in the course, which is prepared together with a senior (FR - Fredrik Rusek, BM - Bengt Mandersson, OE - Ove Edfors).
Some tips were given during the introductory lecture and a PowerPoint template cab be downlodad here.