The applications of wavelet transform on signals and imagery

Abstract

The treatment of the signal is an essential discipline nowadays. It has for object the development or the interpretation of signals carrying information. Often, the signals resulting from the physical phenomena are of nature non-stationary their classical temporal representations do not give a good perception of the multiple oscillating components, while the frequently representation (The transform of Fourier) does not allow of it the temporal localization of these components. To cure this problem, the wavelet transform at summer shouted. It makes it possible to carry out an analysis of the local structures of a signal with a zoom which depends on the scale considered. I.e. an analysis of which the frequently resolution (temporal representation) varies with the temporal localization (frequently representation).