@article{(Open Science Index):https://publications.waset.org/pdf/1265,
	  title     = {Wavelet-Based Spectrum Sensing for Cognitive Radios using Hilbert Transform},
	  author    = {Shiann-Shiun Jeng and  Jia-Ming Chen and  Hong-Zong Lin and  Chen-Wan Tsung},
	  country	= {},
	  institution	= {},
	  abstract     = {For cognitive radio networks, there is a major
spectrum sensing problem, i.e. dynamic spectrum management. It is
an important issue to sense and identify the spectrum holes in
cognitive radio networks. The first-order derivative scheme is usually
used to detect the edge of the spectrum. In this paper, a novel
spectrum sensing technique for cognitive radio is presented. The
proposed algorithm offers efficient edge detection. Then, simulation
results show the performance of the first-order derivative scheme and
the proposed scheme and depict that the proposed scheme obtains
better performance than does the first-order derivative scheme.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {5},
	  number    = {3},
	  year      = {2011},
	  pages     = {278 - 282},
	  ee        = {https://publications.waset.org/pdf/1265},
	  url   	= {https://publications.waset.org/vol/51},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 51, 2011},