389.040 Signal Detection
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2017S, VO, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO Lecture

Aim of course

  • knowledge about fundamental concepts and methods of signal detection
  • ability to formulate and solve practical detection problems
  • improvement of technical english

Subject of course

  • Introduction: motivation, historical remarks, classification of decision problems, performance metrics
  • Simple hypothesis tests: Bayesian detector, MAP and ML detector, Neyman-Pearson detector, minimax detector
  • Detection of known signals in Gaussian noise: correlator, matched filter
  • Detection of Gaussian signals in Gaussian noise: estimator-correlator, canonical implementation
  • Composite hypothesis tests: Bayesian detector, uniformly most powerful detector, locally optimal detector, invariant detectors, generalized likelihood-ratio detector
  • Detection of deterministic signals with unknown parameters: subspace detector, CFAR detector

Additional information

Place: SEM 389 (room no. CG0118), Institute of Telecommunications

Date: Monday, 1-3 pm; first class: Monday, March 6, 2017

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon13:00 - 15:0006.03.2017 - 26.06.2017 Sem 389 (room 118, first floor, Institute of Telecommunications)Signal Detection
Signal Detection - Single appointments
DayDateTimeLocationDescription
Mon06.03.201713:00 - 15:00 Sem 389 (room 118, first floor, Institute of Telecommunications)Signal Detection
Mon13.03.201713:00 - 15:00 Sem 389 (room 118, first floor, Institute of Telecommunications)Signal Detection
Mon20.03.201713:00 - 15:00 Sem 389 (room 118, first floor, Institute of Telecommunications)Signal Detection
Mon27.03.201713:00 - 15:00 Sem 389 (room 118, first floor, Institute of Telecommunications)Signal Detection
Mon03.04.201713:00 - 15:00 Sem 389 (room 118, first floor, Institute of Telecommunications)Signal Detection
Mon24.04.201713:00 - 15:00 Sem 389 (room 118, first floor, Institute of Telecommunications)Signal Detection
Mon08.05.201713:00 - 15:00 Sem 389 (room 118, first floor, Institute of Telecommunications)Signal Detection
Mon15.05.201713:00 - 15:00 Sem 389 (room 118, first floor, Institute of Telecommunications)Signal Detection
Mon22.05.201713:00 - 15:00 Sem 389 (room 118, first floor, Institute of Telecommunications)Signal Detection
Mon29.05.201713:00 - 15:00 Sem 389 (room 118, first floor, Institute of Telecommunications)Signal Detection
Mon12.06.201713:00 - 15:00 Sem 389 (room 118, first floor, Institute of Telecommunications)Signal Detection
Mon19.06.201713:00 - 15:00 Sem 389 (room 118, first floor, Institute of Telecommunications)Signal Detection
Mon26.06.201713:00 - 15:00 Sem 389 (room 118, first floor, Institute of Telecommunications)Signal Detection

Examination modalities

oral exam

Course registration

Not necessary

Curricula

Study CodeObligationSemesterPrecon.Info
066 460 Physical Energy and Measurement Engineering Mandatory elective
066 507 Telecommunications Not specified
710 FW Elective Courses - Electrical Engineering Elective

Literature

Lecture notes for this course are available.

Further References

  • Stephen M. Kay, "Fundamentals of Statistical Signal Processing: Detection Theory," Prentice-Hall: 1998.
  • H. Vincent Poor, "An Introduction to Signal Detection and Estimation," Springer: 1988.
  • Louis L. Scharf, "Statistical Signal Processing," Addison-Wesley: 1991.

Previous knowledge

probability, random variables, stochastic processes, linear algebra (on the level of the courses "Signal Processing 1" und "Signal Processing 2")

Language

English