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ECTS Course Overview



Signal Analysis and Compression

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code460-4103/02
Number of ECTS Credits Allocated4 ECTS credits
Type of Course Unit *Optional
Level of Course Unit *Second Cycle
Year of Study *
Semester when the Course Unit is deliveredSummer Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech, English
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
VAS218Ing. Michal Vašinek, Ph.D.
Summary
This course is focused on basic and advanced methods for signal analysis and data compression. Lectures will be focused on the theoretical description of the algorithms such as Markov models, Entropy, Statistical models, Fourier and Wavelet transforms, and all aspects of the data compression methods. The Exercises will enable the student to experimentally test described methods on the artificial as well as the real-world data. The task will guide students through the application of the algorithms and allow them to understand all topics discussed in this course.
Learning Outcomes of the Course Unit
The goal of this course is to introduce the problematics of the signal processing and data compression. The students will be able to analyze any signal from the statistical and probability point of view. Moreover, the student will be able to choose the proper compression algorithm that is most efficient. The methods will be explained from theoretical as well as from a practical point of view.
Course Contents
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.
Recommended or Required Reading
Required Reading:
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
Sylaby k předmětu Zpracování signálu.
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
Recommended Reading:
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
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
Planned learning activities and teaching methods
Lectures, Tutorials
Assesment methods and criteria
Tasks are not Defined