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The application of compressive sensing (CS) theory has found great interest in wideband spectrum sensing. Although most studies have considered perfect reconstruction of the primary user signal, it is actually more important to assess the presence or absence of the signal. Among CS based methods, Bayesian CS (BCS) takes into consideration the prior information of signal coefficients to be estimated,...
In wideband spectrum sensing, compressive sensing approaches have been used at the receiver side to decrease the sampling rate, if the wideband signal can be represented as sparse in a given domain. While most studies consider the reconstruction of primary user's signal accurately, it is indeed more important to analyze the presence or absence of the signal correctly. Furthermore, these studies do...
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