Course syllabus

Signalbehandling - teori och tillämpningar
Signal Processing - Theory and Applications

EITF15, 6 credits, G2 (First Cycle)

Valid for: 2018/19
Decided by: PLED E
Date of Decision: 2018-04-05

General Information

Main field: Technology.
Compulsory for: Pi2
Language of instruction: The course will be given in Swedish


We use daily equipments in which the signals are stored and treated digitally. From the basic signal processing used in CD-players to advanced processing used in MP3 coding of music, speech coding in GSM, digital video and image processing. The course gives the basic knowledge in digital signal processing and knowledge of signal properties in the time domain as well as in the frequency domain. Practical applications are from various areas, such as Communications, Multimedia, Medicine, Biology and Economics

Learning outcomes

Knowledge and understanding
For a passing grade the student must

Competences and skills
For a passing grade the student must

Judgement and approach
For a passing grade the student must


The course deals with time discrete signals and systems. Items such as the Fourier Transform, the Discrete Fourier Transform (DFT) and the z-transformed are treated in the course as well as some basic structures for implementation of digital filters. Also, system function and frequency functions are introduced as well as digital filters. Digital processing of analogue signals using A/D and D/A conversion is studied. In the laboratory work, practical applications of digital signal processing such as speech signals processing and biomedical signals processing are treated. Also, the course includes basic filter design using Matlab and digital signal processors (DSP).

Examination details

Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: Written exam, fulfilled laboratory work and project.

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.

Code: 0118. Name: Examination.
Credits: 3. Grading scale: TH. Assessment: Written exam
Code: 0218. Name: Laboratory Work.
Credits: 1,5. Grading scale: UG. Assessment: Approved laboratory lessons
Code: 0318. Name: Project.
Credits: 1,5. Grading scale: UG. Assessment: Approved project


Required prior knowledge: FMAF01 Analytic Functions, FMAF05 Systems and Transforms, FMS012 Mathematical Statistics.
The number of participants is limited to: No
The course overlaps following course/s: ESS040, ETT080

Reading list

Contact and other information

Course coordinator: Frida Sandberg,
Course homepage: