English

If sufficient demand

The course aims to provide a deep understanding of the subject Detection Theory. Detection theory can be applied to many different fields, and within communication theory it plays a central role. The department’s research is dominated by different aspects of communication. To have a solid basis and skills in detection is of fundamental importance for a large fraction of LTH’s doctoral students. The course provides them with a solid scientific basis for communication theory

The Neyman-Pearson Theorem, Bayes Risk, Matched and generalized matched filters, Estimator-Correlator structures, Generalized likelihood tests, LMP detectores, detection of signals with unknown parameters, non-Gaussian noise, detection of model changes

Understand in detail the most common detection methods and their application areas
Understand in detail theoretical limitations of detection theory

be able to analyze common detection problems
select a suitable detection method for a given problem description at hand
be able to derive theoretical limits for detection accuracy
be able to communicate detection problems and their solutions orally
have acquired sufficient knowledge for being able to discuss detection problems and their solution with established researchers in the field

have the ability to independently acquire important information from an extensive text, such as a textbook

Lectures

Seminars

Written assignments

Failed, pass

Kay, Steven M.: Detection Theory. Prentice Hall, 1993..

Course Coordinator: Fredrik Rusek fredrik.rusek@eit.lth.se

EIT165F

 -12-07

Professor Thomas Johansson