Course details
Data Coding and Compression
KKO Acad. year 2012/2013 Summer semester 5 credits
Introduction to data compression theory. Lossy and lossless data compression, adaptive methods, statistical - Huffman and arithmetic coding, dictionary methods LZ77, 78, transform coding, Burrows-Wheeler transform. Hardware support for data compression.
Guarantor
Language of instruction
Completion
Time span
- 26 hrs lectures
- 26 hrs projects
Department
Subject specific learning outcomes and competences
Theoretical background of advanced data processing using compression.
Importance of advanced data compression.
Learning objectives
To give the students the knowledge of basic compression techniques, the methods for lossy and lossless data compression their efficiency, statistical and dictionary methods, hardware support for data compression.
Prerequisite knowledge and skills
Knowledge of functioning of basic computer units.
Study literature
- Přednáškové materiály a studijní opory v elektronické formě.
Fundamental literature
- Salomon, D.: Data Compression. The Complete Reference, Second Edition, Springer 2000, ISBN 0-387-95045-1
Syllabus of lectures
- Introduction to compression theory.
- Basic compression methods.
- Statistical and dictionary methods.
- Huffman coding.
- Adaptive Huffman coding.
- Arithmetic coding. Text compression.
- Lossy and lossless data compression.
- Dictionary methods, LZ77, 78.
- Variants of LZW.
- Transform coding, Burrows-Wheeler transform.
- Other methods.
- Hardware support for data compression, MXT.
Progress assessment
Project designing and presentation.
Controlled instruction
Project designing and presentation.
Course inclusion in study plans