INF4480 – Digital Signal Processing II
Course description
Schedule, syllabus and examination date
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 admitted at UiO must?apply for courses?in Studentweb. Students enrolled in other Master's Degree Programmes can, on application, be admitted to the course if this is cleared by their own study programme.
Nordic citizens and applicants residing in the Nordic countries may?apply to take this course as a single course student.
If you are not already enrolled as a student at UiO, please see our information about?admission requirements and procedures for international applicants.
Recommended previous knowledge
3190/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.
- 10 credits overlap with IN5340 – Statistical Signal Processing.
- 10 credits overlap with IN9340 – Statistical Signal Processing.
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. Read more about mandatory assignments and other hand-ins.
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.
More about examinations at UiO
- Use of sources and citations
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.