course-details-portlet

TTT4120

Digital Signal Processing

Choose study year
Credits 7.5
Level Third-year courses, level III
Course start Autumn 2024
Duration 1 semester
Language of instruction English
Location Trondheim
Examination arrangement School exam

About

About the course

Course content

Digital signal processing (DSP) plays a major role in the fast development of new methods within areas such as telecommunication, multimedia, medicine, seismic, remote sensing, monitoring and control of industrial processes, and so on. DSP may be defined as the mathematical tools that are used to analyze, model, or transform physical (real-world) signals/processes and sources. This includes basic operations like filtering and frequency analysis 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

Knowledge: Student has a) an understanding of why digital signal processing is used. b) has detailed knowledge of the basic methods for processing discrete signals and systems. c) a basic understanding of analysis, modeling, and estimation of real-world stochastic signals. Skills: Students can 1) 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/Python to solve the above basic problems

Learning methods and activities

Lectures, compulsory and optionally homework problems and computer exercises in Matlab.

Compulsory assignments

  • Exercises

Further on evaluation

If there is a re-sit examination in August, the examination form may be changed from written to oral.

Course materials

The course material is announced at the first lecture.

Credit reductions

Course code Reduction From
SIE2024 7.5 sp
This course has academic overlap with the course in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Electronics
  • Telecommunication
  • Applied Information and Communication Technology
  • Electrical Power Engineering
  • Telecommunications
  • Seismics
  • Communication and Information Science
  • Technological subjects

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Electronic Systems