Opinto-opas 2005-2006

SGN-2306 SIGNAL COMPRESSION, 5 cr
SIGNAL COMPRESSION

Person responsible
Professor Ioan Tabus

Lecturers
Ioan Tabus, Professor, room TF414, ioan.tabus@tut.fi

Lecture room and time
Per I: Tuesday 10 - 12, TB214
Per I: Thursday 12 - 14, TC163

Implementation rounds
Implementation 1
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer Language of instruction
Lecture 4 h/week - - - - - In English only
Exercise 2 h/week - - - - - In English only
Exam   In English only
Assignment   Total: 20 h  
(Academic Calender 2005-2006)

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

Contents
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, project work, and attendance in at least 3 of the classroom exersices or a written report.

Assessment criteria
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 Author ISBN URL, edition, availablitity... Exam material Language
    Other literature "Signal Compression" Ioan Tabus     Yes  English 

    Prerequisites
    Number Name Credits M/R
    MAT-33310 Statistics 3-6 Recommendable
    SGN-1106 Introductory Signal Processing 3 Mandatory
    SGN-1200 Signal Processing Methods 4 Mandatory
    SGN-1250 Signal Processing Applications 4 Recommendable

    Additional information related to prequisites
    Either SGN-1106 or SGN-1200 is required.

    Other comments

  • The course is suitable for postgraduate studies.
  • Correspondence of content
    8001302 Signal Compression

    Course homepage

    Last modified 02.02.2005
    Modified byAntti Niemistö