Course Catalog 2012-2013
Postgraduate

Basic Pori International Postgraduate Open University

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Course Catalog 2012-2013

SGN-2306 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
Lectures
Excercises
 4 h/week
 2 h/week


 


 


 


 
SGN-2306 2012-01 Tuesday 10 - 12, TB214
Thursday 12 - 14, TB224

Requirements

Final examinaion and a homework assignment

Principles and baselines related to teaching and learning

-

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.     

Evaluation criteria for the course

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      English  
Other literature   "Signal Compression"   Ioan Tabus            English  

Prerequisite relations (Requires logging in to POP)



Correspondence of content

Course Corresponds course  Description 
SGN-2306 Signal Compression, 5 cr SGN-22006 Signal Compression, 5 cr  
SGN-2306 Signal Compression, 5 cr 8001302 Signal Compression, 2 cu  

More precise information per implementation

Implementation Description Methods of instruction Implementation
SGN-2306 2012-01        

Last modified06.03.2012