@article{(Open Science Index):https://publications.waset.org/pdf/9532,
	  title     = {Synthesis of Wavelet Filters using Wavelet Neural Networks},
	  author    = {Wajdi Bellil and  Chokri Ben Amar and  Adel M. Alimi},
	  country	= {},
	  institution	= {},
	  abstract     = {An application of Beta wavelet networks to
synthesize pass-high and pass-low wavelet filters is investigated in
this work. A Beta wavelet network is constructed using a parametric
function called Beta function in order to resolve some nonlinear
approximation problem. We combine the filter design theory with
wavelet network approximation to synthesize perfect filter
reconstruction. The order filter is given by the number of neurons in
the hidden layer of the neural network. In this paper we use only the
first derivative of Beta function to illustrate the proposed design
procedures and exhibit its performance.},
	    journal   = {International Journal of Aerospace and Mechanical Engineering},
	  volume    = {2},
	  number    = {1},
	  year      = {2008},
	  pages     = {195 - 198},
	  ee        = {https://publications.waset.org/pdf/9532},
	  url   	= {https://publications.waset.org/vol/13},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 13, 2008},