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Course Catalog 2013-2014
SGN-22006 Signal Compression, 5 cr |
Additional information
Suitable for postgraduate studies
Person responsible
Ioan Tabus
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
Final examinaion and a homework assignment
Principles and baselines related to teaching and learning
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Learning Outcomes
Student will learn about various signal compression methods and how to select proper methods for signal compression tasks at hand. After completing the course, the student - Understands the goals and restrictions of lossy and lossless compression for various signals - Understands the basic principles of entropy coding of data - Is exposed to using statistical modeling for modern data compression - Is familiar with the most important data compression techniques: Huffman coding, dictionary based methods, arithmetic coding, Burrows-Wheeler etc - Is able to choose between various compression methods for a given application - Is familiar with the state of the art methods for lossless and lossy image compression - Acquires practice on simulating compression algorithms with given input data and extracting useful performance indices helpful in comparing various algorithms.
Content
| 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. |
Instructions for students on how to achieve the learning outcomes
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.
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Study material
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Lecture slides | Ioan Tabus | http://www.cs.tut.fi/~tabus/SC.html | Yes | English |
Prerequisite relations (Requires logging in to POP)
Correspondence of content
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More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |