Course Catalog 2007-2008

SGN-2206 ADAPTIVE SIGNAL PROCESSING, 5 cr
Adaptive Signal Processing

Courses persons responsible
Ioan Tabus

Lecturers
Ioan Tabus

Implementations
Person responsible: Ioan Tabus
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer
Lecture - 4 h/week - - - -
Exercise - 2 h/week - - - -
Exam  
(Timetable for academic year 2007-2008)

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

Requirements for completing the course
Assignment and final exam.

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.

  • Used assessment scale is numeric (1-5)

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

    Prerequisites
    Code Course Credits M/R
    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

    This course and SGN-2106 Multirate Signal Processing are lectured alternately every other year.

  • 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

    Scaling
    Methods of instructionHours
    Lectures 60
    Exercises 24
    Assignments 20

    Study materials
    Scaling of methods of instruction icludes the use of following study material:
    literature

    Other scaledHours
    Preparation for exam 24
    Exam/midterm exam 3
    Total sum 131

    Correspondence of content
    8001253 Adaptive Signal Processing

    Course homepage

    Last modified 28.01.2007
    Modified byIoan Tabus