Signal and Image Processing
Volledige vakbeschrijving
Signal and Image processing offers the student a hands-on introduction into the area of digital signal and image processing. The course is started with the fundamental concepts and mathematical foundation of signal and image processing. This includes a brief review of Fourier analysis, z-transforms and digital filters. After this classical filtering from a linear systems perspective is discussed. This is followed by wavelet transforms and principal component analysis. For each of these techniques it is discussed how they relate to a variety of objectives, such as detection, noise removal, compression, prediction, reconstruction and feature extraction. The techniques in this course are explained for both signal and image processing. During the lectures several practical cases from biomedical engineering are highlighted. The course is accompanied by practical classes in which the students will apply the techniques discussed in the lectures using the software package Matlab. After completing this course the student will be familiar with the fundamental concepts of signal and image processing and their mathematical foundation. The student will be familiar with various types of filters and their properties. The student will be able to apply the various techniques discussed in the lectures to real life problems.Voorwaarden
Linear algebra, Calculus, basic knowledge of Matlab. Some familiarity with linear systems theory and transforms (such as Fourier and Laplace) is helpful.Aanbevolen literatuur
Wavelets and Filter Banks, Gilbert Strang and Truong Nguyen, Wellesley College; 2nd edition, ISBN-13: 978-0961408879 A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way, Stephane Mallat, Academic Press; 3rd edition, ISBN-13: 978-0123743701 Wavelet Theory: An Elementary Approach with Applications, David K. Ruch, Patrick J. Van Fleet, Wiley, ISBN: 978-0-470-38840-2.KEN4222
Periode 1
2 sep 2024
25 okt 2024
Studiepunten:
6.0Taal van de opleiding:
EngelsCoordinators:
Onderwijsmethode:
PBLEvaluatiemethoden:
Written exam