Faculty of Information Technology and Communication Sciences
Language of instruction
Technology and Natural Sciences
Mode of study
Signal Compression, 5 cr
Language of instruction: English
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.