Abstract
For cognitive radio the main issue is to sense and identify all spectrum holes present in the environment. In this paper we are proposing a wavelet approach for spectrum sensing and spectrum hole identification. We will apply wavelet transform on the sub-divided signal to detect the edges and holes over a wide frequency band. The proposed sensing techniques provide an effective radio sensing architecture to identify and locate spectrum holes in the signal spectrum.
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