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SGN-1656 Signal Processing Laboratory, 5 cr |
Mikko Parviainen
Lecture times and places | Target group recommended to | |
Implementation 1 |
Periods 1 1 - 5 |
Four laboratory exercises and their reporting.
Completion parts must belong to the same implementation
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The goal of the course is to train the students to use signal processing tools in practical problem solving, and to train independent problem solving skills.
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Four laboratory exercises. The students select from the available exercises those that suite their specific field of study and personal interest. |
To pass the course, it is required that four exercises have been returned and accepted.
Evaluation scale passed/failed will be used on the course
Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
- | English |
Course | Mandatory/Advisable | Description |
SGN-2016 Digital Linear Filtering I | Advisable | |
SGN-2506 Introduction to Pattern Recognition | Advisable | |
SGN-3016 Digital Image Processing I | Advisable | |
SGN-4010 Speech Processing Methods | Advisable |
Additional information about prerequisites
Each exercise work can have its own additional prerequisites.
Course | Corresponds course | Description |
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Description | Methods of instruction | Implementation | |
Implementation 1 | Lectures Laboratory assignments |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |