|
SGN-2306 Signal Compression, 5 cr |
Ioan Tabus
Lecture times and places | Target group recommended to | |
Implementation 1 |
|
Final examinaion and a homework assignment
-
Student will learn about various signal compression methods and how to select proper methods for signal compression tasks at hand.
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Lossless techniques for data compression. | ||
2. | Text compression. | ||
3. | Lossless and lossy image compression. | ||
4. | Speech and audio compression. |
Course is graded on the basis of answers to exam questions. Very good grade is obtained when exam questions are correctly answered and homework is accepted. Course acceptance threshold is approx. half of the maximum exam points. By volunteering to show exersice solution will be prized with increasing the exam result by one grade if the threshold is passed.
Numerical evaluation scale (1-5) will be used on the course
Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
Other literature | "Signal Compression" | Ioan Tabus | English |
Course | O/R |
MAT-33310 Tilastomatematiikka | Recommended |
SGN-1107 Introductory Signal Processing | Recommended |
SGN-1200 Signaalinkäsittelyn menetelmät | Recommended |
SGN-1250 Signaalinkäsittelyn sovellukset | Recommended |
Course | Corresponds course | Description |
|
|
Description | Methods of instruction | Implementation | |
Implementation 1 | Lectures Excercises Practical works |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |