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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
R54T22S
Bachelor 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.

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