Opinto-opas 2005-2006

SGN-2206 ADAPTIVE SIGNAL PROCESSING, 5 cr
ADAPTIVE SIGNAL PROCESSING

Person responsible
Prof. Ioan Tabus

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

Lecture room and time
Per II: Tuesday 10 - 12, TB223
Per II: Thursday 12 - 14, TB223

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 basic adaptive signal processing methods, especially linear adaptive filters and learning of supervised neural networks.

Requirements for completing the course
Project work and final exam.

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.

  • Used assessment scale is numeric (1-5)

    • Study material
    Type Name Author ISBN URL, edition, availablitity... Exam material Language
    Book "Adaptive Filter Theory" S. Haykin   Prentice-Hall, 2002. Yes  English 

    Prerequisites
    Number Name Credits M/R
    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
    This course and SGN-2106 Multirate Signal Processing are lectured alternately every other year.

  • The course is suitable for postgraduate studies.

    • Correspondence of content
    8001253 Adaptive Signal Processing

    Course homepage

    Last modified 02.02.2006
    Modified byAntti Niemistö