INF4480 – Digital Signal Processing II

Schedule, syllabus and examination date

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Changes in the course due to coronavirus

Autumn 2020 we plan for teaching and examinations to be conducted as described in the course description and on semester pages. However, changes may occur due to the corona situation. You will receive notifications about any changes at the semester page and/or in Canvas.

See general guidelines for examination at the MN Faculty autumn 2020.

Course content

Filter design and multi-rate signal processing. A description of stochastic signals in the time and frequency space, autocorrelation and power density spectrum. Modelling of signals with AR, MA and ARMA models, linear prediction. Spectral estimation and adaptive filters.

Learning outcome

After finishing INF4480

  • You have knowledge about digital signal processing applied on signals in noise.
  • You can develop methods to estimate parameters from random sequences and frequency spectra.
  • You can implement and apply classical and adaptive filters.
  • You can develop signal models suitable for modeling random sequences.
  • You can implement methods and algorithms in matlab/octave that solve practical problems in statistical signal processing.
  • You have knowledge in signal processing suitable for different applications such as physics, measurement techniques, sensor technology, digital communication, and imaging.

Admission to the course

Students at UiO register for courses and exams in Studentweb.

INF3470 – Digital signalbehandling (continued), STK1100 – Probability and Statistical Modelling, MAT1120 – Linear Algebra and INF1100 – Introduction to programming with scientific applications (continued)/INF1000 – Introduction to object-oriented programming (continued)

Overlapping courses

  • 10 credits overlap with INF9480.

Teaching

Lectures and projects, 2 hours of lectures and 2 hours of group sessions per week. The students must hand in 7 mandatory assignments prior to the exam.

Examination

Final written or oral exam which counts 100% of the grade. The form of the exam will be announced at the beginning of the semester and will depend on the number of participating students. One must pass at least 4 out of 7 mandatory assignments prior to the exam. And one must pass the assignments within the very same semester.

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

Resit an examination

Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester. Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) Sep. 29, 2020 11:23:26 PM

Facts about this course

Credits
10
Level
Master
Teaching
Spring
Examination
Spring
Teaching language
Norwegian (English on request)