%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