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Signal Analysis and Compression

Type of study Follow-up Master
Language of instruction English
Code 460-4103/02
Abbreviation AKS
Course title Signal Analysis and Compression
Credits 4
Coordinating department Department of Computer Science
Course coordinator Ing. Michal Vašinek, Ph.D.

Subject syllabus

Lectures:
1. Theory of Information
2. Theory of Probability
3. Markov models in Data Compression
4. Statistical methods of Compression
5. Dictionary methods of Compression
6. Transformations for Data Compression
7. Vector Quantization
8. Efficient data Structures for Data Compression
9. Similarity using Data Compression
10. Application of Data Compression algorithms

Exercise:
Follows the lecture content.

Literature

Robert M. Gray and Lee Davisson;An Introduction to Statistical Signal Processing , Cambridge University Press, 2004
David Salomon and Giovanni Motta; Handbook of Data Compression, 5th Edition, Springer (Nov 2009). ISBN 978-1-84882-902-2 

Advised literature

Robert M. Gray and Lee Davisson;An Introduction to Statistical Signal Processing, Cambridge University Press, 2004
David Salomon and Giovanni Motta; Handbook of Data Compression, 5th Edition, Springer (Nov 2009). ISBN 978-1-84882-902-2