INF4480 – Digital Signal Processing II
Schedule, syllabus and examination date
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.
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.
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.
Recommended previous knowledge
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)
- 10 credits overlap with INF9480.
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.
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.
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.