MMA410 Fourier and Wavelet Analysis 7.5 hec

Fourier analysis (frequency analysis) is an invaluable tool in deterministic and statistical signal processing, and in the theory of partial differential equations. Today so-called wavelet transforms are used as a complement to traditional Fourier transforms. The purpose of the course is partly to show how these transforms are used in practice, for example in sampling signals, in the study of antennas, in geometrical optics, in computer tomography, in probability theory, and to describe the "fast" transforms which nowadays are done by computers in these circumstances.


The course is given
  • in English - in the second half of autumn
  • jointly with Chalmers TMA462

Course information 2018



Course information 2016

Course information 2014

Course information 2012

Course information 2011

The course is cancelled this year.

Course information 2010

Course information 2009

The course is cancelled this year.

Course information 2008

Course information 2007


Page manager Published: Thu 15 Apr 2021.