Data Compression, 6 credits

Datakompression, 6 hp

TSBK08

Main field of study

Electrical Engineering Media Technology and Engineering

Course level

Second cycle

Course type

Programme course

Examiner

Harald Nautsch

Director of studies or equivalent

Lasse Alfredsson

Education components

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

Available for exchange students

Yes
Course offered for Semester Period Timetable module Language Campus ECV
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Chinese 8 (Spring 2020) 1 2 English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Chinese (Communication) 8 (Spring 2020) 1 2 English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Chinese (Signal and Image Processing) 8 (Spring 2020) 1 2 English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, French 8 (Spring 2020) 1 2 English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, French (Communication) 8 (Spring 2020) 1 2 English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, French (Signal and Image Processing) 8 (Spring 2020) 1 2 English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, German 8 (Spring 2020) 1 2 English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, German (Communication) 8 (Spring 2020) 1 2 English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, German (Signal and Image Processing) 8 (Spring 2020) 1 2 English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Japanese 8 (Spring 2020) 1 2 English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Japanese (Communication) 8 (Spring 2020) 1 2 English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Japanese (Signal and Image Processing) 8 (Spring 2020) 1 2 English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Spanish 8 (Spring 2020) 1 2 English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Spanish (Communication) 8 (Spring 2020) 1 2 English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Spanish (Signal and Image Processing) 8 (Spring 2020) 1 2 English Linköping E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering 8 (Spring 2020) 1 2 English Linköping E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Communication) 8 (Spring 2020) 1 2 English Linköping E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2020) 1 2 English Linköping E
6MCSY Communication Systems, Master's Programme 2 (Spring 2020) 1 2 English Linköping C
6CDDD Computer Science and Engineering, M Sc in Engineering 8 (Spring 2020) 1 2 English Linköping E
6CDDD Computer Science and Engineering, M Sc in Engineering (Communication) 8 (Spring 2020) 1 2 English Linköping E
6CDDD Computer Science and Engineering, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2020) 1 2 English Linköping E
6CMJU Computer Science and Software Engineering, M Sc in Engineering 8 (Spring 2020) 1 2 English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese 8 (Spring 2020) 1 2 English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Master Profile Telecommunication) 8 (Spring 2020) 1 2 English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Specialization Electrical Engineering) 8 (Spring 2020) 1 2 English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French 8 (Spring 2020) 1 2 English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Master Profile Telecommunication) 8 (Spring 2020) 1 2 English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Specialization Electrical Engineering) 8 (Spring 2020) 1 2 English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German 8 (Spring 2020) 1 2 English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Master Profile Telecommunication) 8 (Spring 2020) 1 2 English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Specialization Electrical Engineering) 8 (Spring 2020) 1 2 English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese 8 (Spring 2020) 1 2 English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Master Profile Telecommunication) 8 (Spring 2020) 1 2 English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Specialization Electrical Engineering) 8 (Spring 2020) 1 2 English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish 8 (Spring 2020) 1 2 English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Master Profile Telecommunication) 8 (Spring 2020) 1 2 English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Specialization Electrical Engineering) 8 (Spring 2020) 1 2 English Linköping E
6CIII Industrial Engineering and Management, M Sc in Engineering 8 (Spring 2020) 1 2 English Linköping E
6CIII Industrial Engineering and Management, M Sc in Engineering (Electrical Engineering Specialization) 8 (Spring 2020) 1 2 English Linköping E
6CIII Industrial Engineering and Management, M Sc in Engineering (Master Profile Telecommunication) 8 (Spring 2020) 1 2 English Linköping E
6CITE Information Technology, M Sc in Engineering 8 (Spring 2020) 1 2 English Linköping E
6CITE Information Technology, M Sc in Engineering (Communication) 8 (Spring 2020) 1 2 English Linköping E
6CITE Information Technology, M Sc in Engineering (Signal and Image Processing) 8 (Spring 2020) 1 2 English Linköping E
ECV = Elective / Compulsory / Voluntary

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 exam4 creditsU, 3, 4, 5
LAB2Small computer project2 creditsU, G
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

About teaching and examination language

The teaching language is presented in the Overview tab for each course. The examination language relates to the teaching language as follows: 

  • If teaching language is Swedish, the course as a whole or in large parts, is taught in Swedish. Please note that although teaching language is Swedish, parts of the course could be given in English. Examination language is Swedish. 
  • If teaching language is Swedish/English, the course as a whole will be taught in English if students without prior knowledge of the Swedish language participate. Examination language is Swedish or English (depending on teaching language). 
  • If teaching language is English, the course as a whole is taught in English. Examination language is English. 

Other

The course is conducted in a manner where both men's and women's experience and knowledge are made visible and developed. 

The planning and implementation of a course should correspond to the course syllabus. The course evaluation should therefore be conducted with the course syllabus as a starting point.  

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
Code Name Scope Grading scale
TEN1 A written exam 4 credits U, 3, 4, 5
LAB2 Small computer project 2 credits U, G
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.
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

Note: The course matrix is not fully translated to English.

I U A Modules Comment
1. ÄMNESKUNSKAPER
1.1 Kunskaper i grundläggande matematiska och naturvetenskapliga ämnen
X
Sannolikhetslära, algebra
1.2 Kunskaper i grundläggande (motsvarande G1X) teknikvetenskapliga ämnen
1.3 Fördjupade kunskaper (motsvarande G2X), metoder och verktyg inom något/några teknik- och naturvetenskapliga ämnen
X
TEN1
Distorsionsfria kodningsmetoder
1.4 Väsentligt fördjupade kunskaper (motsvarande A1X), metoder och verktyg inom något/några teknik- och naturvetenskapliga ämnen
1.5 Insikt i aktuellt forsknings- och utvecklingsarbete
2. INDIVIDUELLA OCH YRKESMÄSSIGA FÄRDIGHETER OCH FÖRHÅLLNINGSSÄTT
2.1 Analytiskt tänkande och problemlösning
X
LAB2
TEN1
Modellering av källor, problemlösning med hjälp av matematiska verktyg.
2.2 Experimenterande och undersökande arbetssätt samt kunskapsbildning
X
LAB2
Experimentell metodik
2.3 Systemtänkande
X
LAB2
Avvägning av olika lösningar
2.4 Förhållningssätt, tänkande och lärande
X
LAB2
TEN1
LAB2: Kreativt tänkande, TEN1: Självständig problemlösning
2.5 Etik, likabehandling och ansvarstagande
3. FÖRMÅGA ATT ARBETA I GRUPP OCH ATT KOMMUNICERA
3.1 Arbete i grupp
X
LAB2
Projektlaboration i grupp
3.2 Kommunikation
X
LAB2
Skriftlig laborationsrapport
3.3 Kommunikation på främmande språk
X
Kursen ges på engelska
4. PLANERING, UTVECKLING, REALISERING OCH DRIFT AV TEKNISKA PRODUKTER OCH SYSTEM MED HÄNSYN TILL AFFÄRSMÄSSIGA OCH SAMHÄLLELIGA BEHOV OCH KRAV
4.1 Samhälleliga villkor, inklusive ekonomiskt, socialt och ekologiskt hållbar utveckling för kunskapsutveckling
4.2 Företags- och affärsmässiga villkor
4.3 Att identifiera behov samt strukturera och planera utveckling av produkter och system
4.4 Att konstruera produkter och system
X
LAB2
Utveckling av kodare
4.5 Att realisera produkter och system
X
LAB2
Mjukvaruimplementation av kodare
4.6 Att ta i drift och använda produkter och system
5. PLANERING, GENOMFÖRANDE OCH PRESENTATION AV FORSKNINGS- ELLER UTVECKLINGSPROJEKT MED HÄNSYN TILL VETENSKAPLIGA OCH SAMHÄLLELIGA BEHOV OCH KRAV
5.1 Samhälleliga villkor, inklusive ekonomiskt, socialt och ekologiskt hållbar utveckling
5.2 Ekonomiska villkor för kunskapsutveckling
5.3 Att identifiera behov samt strukturera och planera forsknings- eller utvecklingsprojekt
5.4 Att genomföra forsknings- eller utvecklingsprojekt
5.5 Att redovisa och utvärdera forsknings- eller utvecklingsprojekt

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.

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