Digital Signal Processing (5 cr)
Code: TX00CQ62-3010
General information
- Enrollment
-
06.05.2024 - 31.07.2024
Registration for the implementation has ended.
- Timing
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05.08.2024 - 16.08.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of ICT
- Campus
- Leiritie 1
- Teaching languages
- English
- Seats
- 0 - 50
- Degree programmes
- Degree Programme in Information Technology
- Teachers
- Manfred Jungke
- Course
- TX00CQ62
Implementation has 10 reservations. Total duration of reservations is 40 h 0 min.
| Time | Topic | Location |
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Mon 05.08.2024 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3010 |
MMC375
Oppimistila
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Tue 06.08.2024 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3010 |
MMC375
Oppimistila
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Wed 07.08.2024 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3010 |
MMC375
Oppimistila
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Thu 08.08.2024 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3010 |
MMC375
Oppimistila
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Fri 09.08.2024 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3010 |
MMC375
Oppimistila
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Mon 12.08.2024 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3010 |
MMC375
Oppimistila
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Tue 13.08.2024 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3010 |
MMC375
Oppimistila
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Wed 14.08.2024 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3010 |
MMC375
Oppimistila
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Thu 15.08.2024 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3010 |
MMC375
Oppimistila
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Fri 16.08.2024 time 09:00 - 13:00 (4 h 0 min) |
Digital Signal Processing TX00CQ62-3010 |
MMC375
Oppimistila
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Objective
Knowledge and understanding:
- The students will know the basic properties of digital signal processing systems. They are able to analyze signal processing systems and to understand the background of filter design software.
Skills:
- The student is able to use basic signal processing tools for analyzing and modifying existing digital signal processing systems.
Content
Core content level:
Basics of Digital Signal Processing: discrete signals and their properties, properties of sampled linear systems, difference equation, convolution, correlation, analysis of linear discrete-time systems: impulse and step responses, transfer function, frequency response,
Discrete Fourier Transform (DFT), z-Transform, pole-zero- diagram. basic audio signal processing
Additional content:
Training material including solved problems are provided.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Student understands the fundamentals of digital signal processing
Assessment criteria, good (3)
Student can apply digital signal processing methods on solving simple problems.
Assessment criteria, excellent (5)
Student can apply digital signal processing methods as a part of system development.
Assessment criteria, approved/failed
Student understands the fundamentals of digital signal processing
Qualifications
Basic mathematics and complex numbers, C programming language