Course Catalog 2009-2010
Basic

Basic Pori International Postgraduate Open University

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Course Catalog 2009-2010

SGN-2206 Adaptive Signal Processing, 5 cr

Person responsible

Ioan Tabus

Implementations

  Lecture times and places Target group recommended to
Implementation 1


Per 2 :
Tuesday 10 - 12, TB214
Thursday 12 - 14, TB214

  		DI-Opiskelijat
International Students
Jatko-opiskelijat
Tieto- ja sähkötekniikan tiedekunta  


Requirements

Assignment and final exam.

Principles and baselines related to teaching and learning

-

Learning outcomes

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

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.

Assessment scale:

Numerical evaluation scale (1-5) will be used on the course

Study material

Type Name Author ISBN URL Edition, availability, ... Examination material Language
Book   "Adaptive Filter Theory"   S. Haykin       Prentice-Hall, 2002.      English  


Prerequisites

Course Mandatory/Advisable Description
SGN-1107 Introductory Signal Processing Mandatory    
SGN-1200 Signaalinkäsittelyn menetelmät Mandatory    
SGN-1250 Signaalinkäsittelyn sovellukset Advisable    

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

Prerequisite relations (Requires logging in to POP)

Correspondence of content

Course Corresponds course  Description 
SGN-2206 Adaptive Signal Processing, 5 cr 8001253 Adaptive Signal Processing, 3 cu  

More precise information per implementation

  Description Methods of instruction Implementation
Implementation 1