Course Catalog 2007-2008

SGN-2306 SIGNAL COMPRESSION, 5 cr
Signal Compression

Courses persons responsible
Ioan Tabus

Lecturers
Ioan Tabus

Lecturetimes and places
Per I: Tuesday 10 - 12, TB214
Per I: Thursday 12 - 14, TB214

Implementations
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer
Lecture 4 h/week - - - - -
Exercise 2 h/week - - - - -
Assignment 20 h/per - - - - -
Exam  
(Timetable for academic year 2007-2008)

Objectives
Student will learn about various signal compression methods and how to select proper methods for signal compression tasks at hand.

Content
Content Core content Complementary knowledge Specialist knowledge
1. Lossless techniques for data compression.       
2. Text compression.       
3. Lossless and lossy image compression.       
4. Speech and audio compression.       

Requirements for completing the course
Final examinaion, assignment, and attendance in at least 3 of the classroom exersices or a written report.

Evaluation criteria for the course

  • Course is graded on the basis of answers to exam questions. Very good grade is obtained when exam questions are correctly answered and homework is accepted. Course acceptance threshold is approx. half of the maximum exam points. By volunteering to show exersice solution will be prized with increasing the exam result by one grade if the threshold is passed.

  • Used assessment scale is numeric (1-5)

    • Study material
    Type Name Auhor ISBN URL Edition, availability... Exam material Language
    Other literature "Signal Compression" Ioan Tabus       Yes  English 

    Prerequisites
    Code Course Credits M/R
    MAT-33310 MAT-33310 Statistics 3-6 Recommendable
    SGN-1107 SGN-1107 Introductory Signal Processing 4 Mandatory
    SGN-1200 SGN-1200 Signal Processing Methods 4 Mandatory
    SGN-1250 SGN-1250 Signal Processing Applications 4 Recommendable

    Prequisite relations (Sign up to TUT Intranet required)

    Additional information about prerequisites
    Either SGN-1107 or SGN-1200 is required.

    Remarks

  • The course is suitable for postgraduate studies.

    • Distance learning

  • ITC utilized during the course

    • - In information distribution via homepage, newsgroups or mailing lists, e.g. current issues, timetables
    - In distributing and/or returning exercise work, material etc

  • Estimate as a percentage of the implementation of the course

    • - Contact teaching: 30 %
    - Distance learning: 0 %
    - Proportion of a student's independent study: 70 %

  • Description of the course implementation from ICT point of view

    • Mandatory attendance at least 3 of the classroom exercises or or a written report.

    Scaling
    Methods of instructionHours
    Lectures 60
    Exercises 24
    Assignments 20

    Other scaledHours
    Preparation for exam 25
    Exam/midterm exam 3
    Total sum 132

    Correspondence of content
    8001302 Signal Compression

    Course homepage

    Last modified 17.04.2007
    Modified bySari Peltonen