Signal processing
| Structure Type: | Course |
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| Code: | KL04BT42030 |
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| Level: | Bachelor |
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| Credits: | 3.0 points |
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| Responsible Teacher: | Mikkonen, Pasi |
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| Language of Instruction: | Finnish |
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Course Implementations, Planned Year of Study and Semester
| Curriculum | Semester | Credits | Start of Semester | End of Semester |
| TITE-2013 |
2 spring |
3.0 |
2015-01-02 |
2015-07-31 |
| TITE-2013 |
2 spring |
3.0 |
2015-01-02 |
2015-07-31 |
| TITE-2014 |
2 spring |
3.0 |
2016-01-01 |
2016-07-31 |
| TITE-2014 |
2 spring |
3.0 |
2016-01-01 |
2016-07-31 |
| TITE-2015 |
2 spring |
3.0 |
2017-01-01 |
2017-07-31 |
| TITE-2015 |
2 spring |
3.0 |
2017-01-01 |
2017-07-31 |
| TITE-2016 |
2 spring |
3.0 |
2018-01-01 |
2018-07-31 |
Learning Outcomes
Students will be competent in command of the analysis, processing and data transmission of digital signals.
Student's Workload
Total work load of the course: 80 h
- of which scheduled studies: 40 h
- of which autonomous studies: 40 h
Prerequisites / Recommended Optional Courses
No previous studies are required.
Contents
- Signal frequencies, filtering, and modulation
- Digital processing of a sound frequency signal
- Applications for signal processing: adaptive filtering, modification of sampling frequencies, compression of sound signals
- Brief discussion of speech processing, image processing and image coding
Recommended or Required Reading
Lecture material and book The Scientist and Engineer's Guide to
Digital Signal Processing
Steven W. Smith, Ph.D.
Mode of Delivery / Planned Learning Activities and Teaching Methods
Lectures and exercises in the laboratory
Assessment Criteria
5 Students are able to commendable rate issues and know how to apply them.
4 -3 Students are able to rate the key issues
2 -1 Students are able to rate the basics
Assessment Methods
Examination and laboratory exercises
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