course-details-portlet

TTT4120

Digital Signal Processing

Credits 7.5
Level Third-year courses, level III
Course start Autumn 2011
Duration 1 semester
Language of instruction Norwegian
Examination arrangement Portfolio assessment

About

About the course

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) learn the basic methods for processing of discrete signals and systems.
b) gain a basic understanding of analysis, modeling and estimation of real world stochastic signals.

Learning methods and activities

Lectures, compulsory homework problems and computer exercises in Matlab. Portfolio assessment is the basis for the grade in the course. The portfolio includes a final written exam (80%) and a midterm test (20%). The results for the parts are given in %-scores, while the entire portfolio is assigned a letter grade. The midterm examination will only count in a positive direction. If the result of the midterm examination is worse than the result in the written examination, the final grade will be based on the written examination alone. If there is a re-sit examination, the examination form may be changed from written to oral.

Compulsory assignments

  • Exercises

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

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

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Electronic Systems

Examination

Examination

Examination arrangement: Portfolio assessment
Grade: Letters

Ordinary examination - Autumn 2011

Skriftlig eksamen
Weighting 80/100 Date 2011-12-13 Time 09:00 Duration 4 timer Place and room Not specified yet.
Semesterprøve
Weighting 20/100

All about examinations at NTNU