spring 2015
FYS-3011 Detection theory - 10 ECTS

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Application deadline

Applicants from Nordic countries: 1 June for the autumn semester and 1 December for the spring semester.

Applicants from outside the Nordic countries: 1 October for the spring semester and 15 April for the autumn semester.

Type of course

The course is available as a singular course. The course is also available to exchange students and free-movers.

The course will only be taught if there is a sufficient number of students. Are you interested in following the course, please contact the student advisor as soon as possible.

Admission requirements

Admission requirements are a Bachelor's degree in physics or similar education, including specialization in physics worth the equivalent of not less than 80 ECTS credits. Local admission, application code 9371 - singular courses at Master's level.

Course overlap

If you pass the examination in this course, you will get an reduction in credits (as stated below), if you previously have passed the following courses:

FYS-361 Detection theory 9 stp
FYS-8011 Detection theory 8 stp

Course content

The course deals with stochastic processes, analytical signals, hypothesis testing applied to signal detection, optimal receivers, estimation theory and limits for the variance of estimators. Both classical and Bayes-based detectors and estimators will be discussed. Satellite remote sensing, radar and digital communications will be used as examples and applications. Exercises are emphasized. Practical signal processing using detection theory and programming is also emphasized, Programming knowledge is required.

Recommended prerequisites

FYS-2006 Signal processing, FYS-2007 Statistical signal theory

Language of instruction and examination

The language of instruction is English and all of the syllabus material is in English. Examination questions will be given in English, but may be answered either in English or a Scandinavian language.

Teaching methods

Lectures: 40 hours
Exercises: 25 hours

Assessment

Portfolio assessment of a take-home examination counting about 25 % and a final oral examination counting about 75 %. All components in the portfolio are assessed as a whole and one combined grade is given.

Assessment scale: Letter grades A-F.

Re-sit examination (section 22):
There is no access to a re-sit examination in this course.

Postponed examination (sections 17 and 21):
Students with valid grounds for absence will be offered a postponed examination. Both postponed take-home examination and postponed oral examination are arranged during the semester if possible, otherwise early in the following semester.

New ordinary examination (section 25):
A new ordinary examination in the teaching-free semester is not offered.

See indicated sections in Regulations for examinations at the UiT The arctic university of Norway for more information.

Coursework requirements
Access to the final examination requires submission of take-home examination.

Recommended reading/syllabus

Text book:

Scharf, Louis L. (1991). Statistical signal processing: detection, estimation, and time series analysis. Boston: Addison-Wesley. ISBN: 0-201-19038-9.

Error rendering component

  • About the course
  • Campus: Tromsø |
  • ECTS: 10
  • Course code: FYS-3011
  • Earlier years and semesters for this topic