Opinto-opas 2005-2006

SGN-2706 NONLINEAR SIGNAL PROCESSING, 5 cr
NONLINEAR SIGNAL PROCESSING

Person responsible
Prof. Pauli Kuosmanen

Lecturers
Pauli Kuosmanen, Professor, room TE421, pauli.kuosmanen@tut.fi

Lecture room and time
Per III,IV: Tuesday 8 - 10, TB222

Implementation rounds
Implementation 1
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer Language of instruction
Lecture - - 2 h/week+ 2 h/week - - In English only
Exercise - - 2 h/week+ 2 h/week - - In English only
Exam   In finnish and in english if asked
(Academic Calender 2005-2006)

Objectives
Student will become familiar with some basic nonlinear filter techniques and will also know how and when to use them.

Contents
Content Core content Complementary knowledge Specialist knowledge
1. review of estimation theory (maximum likelihood and M-estimators).       
2. median type filters.       
3. Filters based on robust estimation.  L-filter optimization.    
4. stack filters       
5. morphological filters and several other minor filter classes.       

Requirements for completing the course
Final examination.

Assessment criteria
Course is graded on the basis of answers to exam questions. Course acceptance threshold is approx. half the maximum exam points. Classroom exercise activity gives bonus points which are added to exam points.

  • Used assessment scale is numeric (1-5)

    • Study material
    Type Name Author ISBN URL, edition, availablitity... Exam material Language
    Book "Fundamentals of Nonlinear Digital Filtering" Astola, J. & Kuosmanen, P.   CRC Press, 1997 No  English 
    Lecture slides "Nonlinear Signal Processing" Kuosmanen, P.     Yes  English 

    Prerequisites
    Number Name Credits M/R
    SGN-1106 Introductory Signal Processing 3 Recommendable
    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.

    Correspondence of content
    8001453 Nonlinear Signal Processing

    Course homepage

    Last modified 29.11.2005
    Modified byAntti Niemistö