… for correlated signals. Though … spectrum sensing algorithm based on signal segmentation
in time domain. The performance of the proposed method is compared with energy detection …

… spectrum band is. In particular, the research is currently moving toward wideband spectrum
sensing [6], which occurs when the sensing is … The wideband spectrum sensing can be split …

… We first consider the case of non-CSS spectrum sensing, where an SU decides whether it is
… a GC-CSS algorithm. It provides robust spectrum sensing results despite HetSOc and SSDF …

… optimal linear cooperation framework for spectrum sensing in order to accurately detect the
weak primary signal. … for the design of optimal spectrum sensing in cognitive radio networks. …

… spectrum sensing. In Section III, we develop multiband joint detection algorithms for spectrum
sensing, … The spatial–spectral joint detection strategy is formulated in Section IV, where we …

… threshold is used in this paper for the optimal spectrum sensing. … TA-RL algorithm. Thus,
the PDR is achieved between 96% to 99%, since we have performed optimal spectrum sensing …

… In this context, starting from an approach present in literature, the present work proposes,
customizes and implements a wavelet based spectrum sensing method, thought to operate …

… a novel method for spectrum sensing, based on the Expectation Maximization algorithm
applied … In the method proposed in this paper as the signal analysis is performed after a moving …

… Abstract—Usually energy–detection based spectrum sensing techniques for Cognitive
Radios need, as preliminary operation, the spectrum segmentation in smaller sub–bands, in …

… , an optimization problem is formulated to determine multiple threshold values for cooperative
spectrum sensing in cognitive radio networks. Fuzzy entropy maximization on sensed …