Course - Digital Signal Processing - TTT4120
Digital Signal Processing
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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.
Recommended previous knowledge
TTK4105 Control Systems or equivalent background.
Course materials
The course material is announced at the first lecture.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| SIE2024 | 7.5 sp |
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
Examination
Examination
Ordinary examination - Autumn 2024
School exam
The specified room can be changed and the final location will be ready no later than 3 days before the exam. You can find your room location on Studentweb.