Welcome to this course!
The course treats the Fourier transform and some related transforms with applications to signal and image processing. In particular, we treat issues concerning discretization (sampling, for example) and a latter time tool, 'wavelets', which enables a new practical approach to the fundamental problem that signals with sharply defined frequencies are widely extended in time (and conversely).
The course starts with an introduction to generalized functions (tempered distributions); if anything more than the Dirac delta is required - as, for example, in the sampling of signals - it is useful to have some knowledge of the theoretical base for the calculations.
The written examination has been scheduled, after a consultation
with the participants, to take place on December 20, 08.45-13.45 in
VÖ42, and (a second opportunity) on January 17, 08.45-13.45 in MC.
Recommended exercises are 2:10,12,13,15,17; 3:10,12,20,22,23.
5:29; 6:1,2,3,5,9,15,32; 8:1,2,3,6,7,11,23,29; 9:2,3; 10:5,21,25,30,31.
11:5,10; 13:2,3,19,20,21,23,34; 14:27.
Computer accounts will be distributed. The software program Matlab with tool-boxes is available from these.
All exercises in BEL 1-3.
All exercises in BEL 4.