TTT4120 - Digital Signal Processing


Examination arrangement

Examination arrangement: Written examination
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Written examination 100/100 4 hours D

Course content

Digital signal processing (DSP) plays a major role in the fast development of new methods within areas as telecommunication, multimedia, medicine, seismics, remote sensing, monitoring and control of industrial processes, and so on. DSP may be defined as the set of mathematical tools which is used to analyse, model or transform physical (real world) signals/processes and sources. This includes basic operations like filtering and frequency analyzis, but also methods/systems for modeling, estimation and classification. The following topics are taught: time, frequency and z-domain description of discrete signals and linear time-invariant systems; analysis and design of filters; multirate systems, correlation and energy spectrum; statistical properties, modeling and estimation of discrete stochastic processes.

Learning outcome

In this course the students will:
a) get an understanding of why digital signal processing is used.
b) learn the basic methods for processing of discrete signals and systems.
c) gain a basic understanding of analysis, modeling and estimation of real world stochastic signals.

Further the students shall acquire skills with respect to :
1) how to solve basic problems within filtering, frequency analysis and signal modeling by combining earlier acquired knowledge and skills within mathematics, statistics and basic signal processing.
2) use Matlab to solve the above basic problems

Learning methods and activities

Lectures, compulsory and optionally homework problems and computer exercises in Matlab. Portfolio assessment is the basis for the grade in the course.The grade is based on a final written exam. If there is a re-sit examination, the examination form may be changed from written to oral.

Compulsory assignments

  • Exercises

Specific conditions

Exam registration requires that class registration is approved in the same semester, or that compulsory activities are approved in a previous semester.

Course materials

The course material is announced at the first lecture.

Credit reductions

Course code Reduction From To
SIE2024 7.5



Examination arrangement: Written examination

Term Evaluation form Weighting Examination aids Date Time Room *
Autumn Written examination 100/100 D 2015-12-11 09:00 A , E6 , R Datasal (D1-185) , Møterom 1B
Summer Written examination 100/100 D
* The location (room) for a written examination is published 3 days before examination date.
If more than one room is listed, you will find your room at Studentweb.