%0 Journal Article
	%A Mohammed Benbrahim and  Khalid Benjelloun and  Aomar Ibenbrahim and  Adil Daoudi
	%D 2008
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 19, 2008
	%T Classification of Non Stationary Signals Using Ben Wavelet and Artificial Neural Networks
	%U https://publications.waset.org/pdf/13996
	%V 19
	%X The automatic classification of non stationary signals is an important practical goal in several domains. An essential classification task is to allocate the incoming signal to a group associated with the kind of physical phenomena producing it. In this paper, we present a modular system composed by three blocs: 1) Representation, 2) Dimensionality reduction and 3) Classification. The originality of our work consists in the use of a new wavelet called "Ben wavelet" in the representation stage. For the dimensionality reduction, we propose a new algorithm based on the random projection and the principal component analysis.

	%P 2514 - 2518