INF4480 – Digital Signal Processing II
Schedule, syllabus and examination date
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.
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
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 INF5400 – Statistisk signalbehandling (discontinued)
- 4 credits overlap with INF3440 – Signal processing (continued)
- 4 credits overlap with INF4440 – Signal processing (continued)
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.
Explanations and appeals
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.
Withdrawal from an examination
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
It is strongly recommended to attend the first lecture since it will be given important information.