| TSBK08 |
Data Compression, 6 ECTS credits.
/Datakompression/
For:
D
I
Ii
IT
SY
Y
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Prel. scheduled
hours: 48
Rec. self-study hours: 112
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Area of Education: Technology
Main field of studies: Electrical Engineering
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Advancement level
(G1, G2, A): A
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Aim:
After having taken this course, the student is expected to be able to
- Obtain a random model for a source, given data from the source.
- Analyze random sources and calculate theoretical limits for coding performance.
- Understand and explain the concept of codes.
- Understand and explain how the following coding methods work
- Huffman coding
- Golomb coding
- Arithmetic coding
- Lempel-Ziv coding
- Burrows-Wheeler's block transform
Understand and explain how adaptive Huffman coding and adaptiv arithmetic coding works.
Design different types of coders and calculate their
coding performance, given random source models.
Know where the coding methods are used in different standards.
Implement different coding methods, test these on real data
and report the results in writing.
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Prerequisites: (valid for students admitted to programmes within which the course is offered)
Probability theory
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
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Supplementary courses:
Image and Audio Coding
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Organisation:
The course consists of lectures, lessons and laboratory work.
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Course contents:
The course deals with coding and data compression from an information theoretic perspective. Subjects:
- Random models for sources
- Source coding theory
- Entropy
- Huffman coding
- Arithmetic coding
- Lempel-Ziv coding
- Burrows-Wheeler's block transform
- Adaptive coding methods
- Coding standards
- Fax coding
- Lossless image coding
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Course literature:
No strictly specified course literature. Students that intend to follow the subsequent course TSBK02/06 Image and Audio Coding are recommended the main literature for that course: Khalid Sayood, "Introduction to Data Compression", Morgan Kaufmann Publishers, ISBN
978-0-12-415796-5
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Examination: |
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A written exam
Small computer project
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4 ECTS
2 ECTS
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During the project, the students implement a couple of the coding
methods that are taught in the course and test them on several kinds of real data. The students can choose to work alone or in groups of two. |
Course language is English.
Department offering the course: ISY.
Director of Studies: Klas Nordberg
Examiner: Harald Nautsch
Link to the course homepage at the department
Course Syllabus in Swedish
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