%0 Journal Article
	%A Shiann-Shiun Jeng and  Jia-Ming Chen and  Hong-Zong Lin and  Chen-Wan Tsung
	%D 2011
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 51, 2011
	%T Wavelet-Based Spectrum Sensing for Cognitive Radios using Hilbert Transform
	%U https://publications.waset.org/pdf/1265
	%V 51
	%X 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.
	%P 278 - 282