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Course details 2012-2013  
    
  > Course details 2012-2013 > Exact and Medical Sciences > Biomedical Sciences > Master
-Advanced Signal and Image Processing
Course Code :2046FBDBMW
Study domain:Medical technology
Semester:Semester: 2nd semester
Contact hours:20
Credits:3
Study load (hours):84
Contract restrictions: Exam contract not possible
Language of instruction :English
Exam period:exam in the 2nd semester
Tutor(s)Jan Sijbers
Dirk Van Dyck

 

1. Prerequisites

At the start of this course the student should have acquired the following competences:
An active knowlegde of :
  • English
A passive knowledge of :
  • English
  • General knowledge of the use of a PC and the Internet
Specific prerequisites for this course:
A credit of Fundamentals of Signal and Image Processing (first semester) is required.

2. Learning outcomes

  • gain knowledge about advanced concepts in signal and image processing technology. 
  • being able to employ the techniques in Matlab .


3. Course contents

Part I: signal processing

  1. Spectral analysis
  2. Signal interpolation
  3. Digital filters
  4. Wavelet transform

Part II: image processing

    1. Image segmentation
    2. Digital image analysis
    3. Object quantification, pattern recognition
  2. Modern techniques in image processing:
    1. wavelet transform
    2. artificial neural networks
    3. genetic algorithms
    4. fuzzy logic
    5. applications


4. Teaching method

Class contact teaching:
  • Lectures
  • Practice sessions

    • Personal work:
  • Exercises
  • Paper: Individually

    • Facilities for working students
    Classroom activities:
    • Exercise sessions: free to choose the group division

    5. Assessment method and criteria

    Examination:
  • Written without oral presentation
  • Oral without written preparation

    • Continuous assessment:
  • Assignments

    • Presentation
    6. Study material

    Required reading

    The Scientist and Engineer's Guide to Digital Signal Processing
    By Steven W. Smith, Ph.D




    Optional reading

    The following study material can be studied on a voluntary basis:


    7. Contact information

    (+)last update: 13/02/2013 16:02 jan.sijbers  
     
    Inhoudsverantwoordelijke(n) : Facultaire administratie