Data Compression, 6 credits (TSBK08)

Datakompression, 6 hp

Main field of study

Electrical Engineering Media Technology and Engineering

Level

Second cycle

Course type

Programme course

Examiner

Harald Nautsch

Director of studies or equivalent

Lasse Alfredsson

Available for exchange students

Yes
Course offered for Semester Period Timetable module Language Campus VOF
6MCSY Communication Systems, Master's Programme 2 (Spring 2019) 1 2 English Linköping o
6CDDD Computer Science and Engineering, M Sc in Engineering (Systems Technology) 8 (Spring 2019) 1 2 English Linköping o/v
6CDDD Computer Science and Engineering, M Sc in Engineering 8 (Spring 2019) 1 2 English Linköping v
6CDDD Computer Science and Engineering, M Sc in Engineering (Communication) 8 (Spring 2019) 1 2 English Linköping v
6CDDD Computer Science and Engineering, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2019) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German 8 (Spring 2019) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Specialization Electrical Engineering) 8 (Spring 2019) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Master Profile Telecommunication) 8 (Spring 2019) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish 8 (Spring 2019) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Specialization Electrical Engineering) 8 (Spring 2019) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Master Profile Telecommunication) 8 (Spring 2019) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French 8 (Spring 2019) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Specialization Electrical Engineering) 8 (Spring 2019) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Master Profile Telecommunication) 8 (Spring 2019) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese 8 (Spring 2019) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Specialization Electrical Engineering) 8 (Spring 2019) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Master Profile Telecommunication) 8 (Spring 2019) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese 8 (Spring 2019) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Specialization Electrical Engineering) 8 (Spring 2019) 1 2 English Linköping v
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Master Profile Telecommunication) 8 (Spring 2019) 1 2 English Linköping v
6CIII Industrial Engineering and Management, M Sc in Engineering (Master Profile Telecommunication) 8 (Spring 2019) 1 2 English Linköping v
6CIII Industrial Engineering and Management, M Sc in Engineering (Electrical Engineering Specialization) 8 (Spring 2019) 1 2 English Linköping v
6CIII Industrial Engineering and Management, M Sc in Engineering 8 (Spring 2019) 1 2 English Linköping v
6CITE Information Technology, M Sc in Engineering 8 (Spring 2019) 1 2 English Linköping v
6CITE Information Technology, M Sc in Engineering (Systems Technology) 8 (Spring 2019) 1 2 English Linköping o/v
6CITE Information Technology, M Sc in Engineering (Communication) 8 (Spring 2019) 1 2 English Linköping v
6CITE Information Technology, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2019) 1 2 English Linköping v
6CMJU Computer Science and Software Engineering, M Sc in Engineering 8 (Spring 2019) 1 2 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2019) 1 2 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Communication) 8 (Spring 2019) 1 2 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2019) 1 2 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2019) 1 2 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Communication) 8 (Spring 2019) 1 2 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2019) 1 2 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2019) 1 2 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Communication) 8 (Spring 2019) 1 2 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2019) 1 2 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2019) 1 2 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Communication) 8 (Spring 2019) 1 2 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2019) 1 2 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 8 (Spring 2019) 1 2 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Communication) 8 (Spring 2019) 1 2 English Linköping v
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2019) 1 2 English Linköping v
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering 8 (Spring 2019) 1 2 English Linköping v
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Communication) 8 (Spring 2019) 1 2 English Linköping v
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2019) 1 2 English Linköping v

Main field of study

Electrical Engineering, Media Technology and Engineering

Course level

Second cycle

Advancement level

A1X

Course offered for

  • Master's Programme in Communication Systems
  • Computer Science and Engineering, M Sc in Engineering
  • Industrial Engineering and Management - International, M Sc in Engineering
  • Industrial Engineering and Management, M Sc in Engineering
  • Information Technology, M Sc in Engineering
  • Computer Science and Software Engineering, M Sc in Engineering
  • Applied Physics and Electrical Engineering - International, M Sc in Engineering
  • Applied Physics and Electrical Engineering, M Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Probability theory

Intended learning outcomes

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.

Course content

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

Teaching and working methods

The course consists of lectures, lessons and laboratory work.

Examination

TEN1A written examU, 3, 4, 54 credits
LAB2Small computer projectU, G2 credits
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.

Grades

Four-grade scale, LiU, U, 3, 4, 5

Other information

Supplementary courses: Image and Audio Coding

Department

Institutionen för systemteknik

Director of Studies or equivalent

Lasse Alfredsson

Examiner

Harald Nautsch

Course website and other links

Education components

Preliminary scheduled hours: 48 h
Recommended self-study hours: 112 h

Course literature

Kursen har inte någon hårt specificerad kurslitteratur. För den som även tänker läsa TSBK02/06 Bild- och ljudkodning rekommenderas den kursens huvudlitteratur: Khalid Sayood, "Introduction to Data Compression", Morgan Kaufmann Publishers, ISBN 978-0-12-415796-5
Kursen har inte någon hårt specificerad kurslitteratur. För den som även tänker läsa TSBK02/06 Bild- och ljudkodning rekommenderas den kursens huvudlitteratur: Khalid Sayood, "Introduction to Data Compression", Morgan Kaufmann Publishers, ISBN 978-0-12-415796-5
TEN1 A written exam U, 3, 4, 5 4 credits
LAB2 Small computer project U, G 2 credits
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.

This tab contains public material from the course room in Lisam. The information published here is not legally binding, such material can be found under the other tabs on this page. There are no files available for this course.