@article{(Open Science Index):https://publications.waset.org/pdf/13996,
	  title     = {Classification of Non Stationary Signals Using Ben Wavelet and Artificial Neural Networks},
	  author    = {Mohammed Benbrahim and  Khalid Benjelloun and  Aomar Ibenbrahim and  Adil Daoudi},
	  country	= {},
	  institution	= {},
	  abstract     = {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.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {7},
	  year      = {2008},
	  pages     = {2514 - 2518},
	  ee        = {https://publications.waset.org/pdf/13996},
	  url   	= {https://publications.waset.org/vol/19},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 19, 2008},
	}