Wavelet analysis was created in 70-ties last century as a method of expansion of
functions in to series. It is an alternative method to the classical method of
representation functions via Fourier series. Wavelet expansions are the expansion
with respect to the family of functions, that is constructed from a single function
via translations and dilatations. Functions that give us a ``good’’ expansions
constructed in that way are called wavelets. The wavelets theory quickly appeared
very useful tool in many applications in mathematics, physics and computer science
(e.g. signal processing, image compression).
The aim of the module is to introduce the mathematical background of the wavelets.
Introduction to wavelets-learning module description