Third-Cycle Courses

Faculty of Engineering | Lund University

Details for the Course Syllabus for Course EIT165F valid from Autumn 2017

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  • 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
Knowledge and Understanding
  • For a passing grade the doctoral student must
  • Understand in detail the most common detection methods and their application areas
    Understand in detail theoretical limitations of detection theory
Competences and Skills
  • For a passing grade the doctoral student must
  • 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
Judgement and Approach
  • For a passing grade the doctoral student must
  • have the ability to independently acquire important information from an extensive text, such as a textbook
Types of Instruction
  • Lectures
  • Seminars
Examination Formats
  • Written assignments
  • Failed, pass
Admission Requirements
Assumed Prior Knowledge
Selection Criteria
  • Kay, Steven M.: Detection Theory. Prentice Hall, 1993..
Further Information
  • Course Coordinator: Fredrik Rusek
Course code
  • EIT165F
Administrative Information
  •  -12-07
  • Professor Thomas Johansson

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