Table of contents

The course is connected to the following study programs

  • Electronics and Electrical Engineering, Bachelor's Programme
  • Artificial Intelligence, 5-year master programme

Teaching language

English and Norwegian

Recommended previous knowledge

MA-169 Mathematics 1 - Electrical Engineering (Complex Numbers) and MA-170 Mathematics 2 - Electrical Engineering (Fourier series).

Learning outcomes

On successful completion of the course, the students:
- Have knowledge of the digitization of analog signals, digital filters, convolution and correlation, Fourier and z-transformation, the basic properties of random signals.

- Are able to develop mathematical models of simple signal processing systems.

- Can use LabView to create simple signal processing applications including AD-DA, digital filters, DFT routines and simple image processing.

Contents

Signals in the time and frequency domains. Sampling and quantization. Fourier and Z-transformation. Transfer functions. Convolution and correlation. Digital filters. Multi-Rate DSP. Simple image processing. Random signals.

Teaching and learning methods

Lectures, theoretical exercises and lab. exercises. The exercises conducted in the electrical lab on specially designed equipment and performed under the supervision of an engineer, student assistant and / or teacher in groups of max 3 students. Necessary training in the use of subject related software and hardware will be given. Classes are divided into groups of appropriate size so that all students should have access to necessary equipment and the support they need to solve the tasks.

Examination requirements

Students must pass the compulsory assignments in order to take the examination. An overview of the compulsory assignments will be given in Canvas at the start of the semester.

Examinations

Written examination, 4 hours. Graded assessment.

Student evaluation

The person responsible for the course decides, in cooperation with student representative, the form of student evaluation and whether the course is to have a midway or end of course evaluation in accordance with the quality system for education, chapter 4.1.

Reduction of Credits

This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:

Course Reduction of Credits
ELE208 – Signal Processing. 10
Last updated from FS (Felles studentsystem) Oct. 15, 2026 7:22:37 AM