Digital Signal Processing (5 cr)
Code: R504TL131-3002
General information
- Enrollment
-
01.10.2024 - 07.01.2025
Registration for the implementation has ended.
- Timing
-
08.01.2025 - 30.04.2025
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Bachelor of Engineering, Information Technology
- Teaching languages
- English
- Seats
- 0 - 50
- Teachers
- Anssi Ylinampa
- Teacher in charge
- Anssi Ylinampa
- Groups
-
R54T22SBachelor of Engineering, Information Technology (full time day studies), autumn 2022
- Course
- R504TL131
Evaluation scale
H-5
Content scheduling
Lectures
Frequency selective digital filters , low pass filter , high pass filter , bandpass filter
FIR filter structure , ideal phase response
Unit circle in complex z-domain
Poles and zeroes in unit circle
Transfer function of digital filter
Sampling frequency , Nyqvist theory , aliasing error
Laboratory work
Digital signal simulation
Examination
Objective
The student understands basic concepts and methods of Digital Signal Processing (DSP). The student understands digital filters. The student will be able to analyze and process digital signals in time- and frequency-domain. Student understands the importance of information security as part of the analysis and synthesis of signals.
Content
- Methods to discretize signals by sampling
- Mathematical analysis of discrete signals
- Principles of digital filtering
- Adaptive filter
- FIR and IIR digital filter design
Location and time
Rovaniemi , computer laboratory B149
Materials
Barrie W. Jervis : Digital Signal Processing , A practical approach
ISBN : 0-201-54413-X
Craig Marven & Gillian Ewers : a simple approach to digital signal processing
ISBN 0-904047-00-8
Teaching methods
Lectures and demonstrations
Laboratory work
Functional simulation with computer
Independent study
Exam schedules
During course there is one examination
Retake examination must be organised with teacher
International connections
International students are coming to this course
Assessment criteria, satisfactory (1)
The student understands the basic concepts of Digital Signal Processing (DSP).
Assessment criteria, good (3)
The student is capable to analyze the properties of the signals using Digital Signal Processing (DSP) methods.
Assessment criteria, excellent (5)
The student is capable to analyze signals and processes by using digital filters.