… , a blind sensing algorithm is … algorithm does not require the knowledge of the signal or of
the noise power. Moreover, the proposed detection algorithm in this paper is blind in the sense …

… be occupancy of a spectrum as well as … on spectrum sensing performed by cognitive radios
because of its broader application areas and lower infrastructure requirement. Other sensing …

… cognitive radio. In this paper, we propose new sensing methods based on the eigenvalues …
In particular, two sensing algorithms are suggested, one is based on the ratio of the maximum …

… Finally, we propose a fast spectrum sensing algorithm for a large network which requires
fewer than the total number of cognitive radios to perform cooperative spectrum sensing while …

… for the design of wideband spectrum sensing algorithms in cognitive radio networks. … The
proposed spectrum sensing algorithms are examined by numerical examples in Section IV and …

… ) techniques for dynamically sensing and decision making processes. In this paper, a blind
adaptive spectrum sensing algorithm based over centralized cooperative sensing platform is …

… —Spectrum sensing, ie, detecting the presence of pri- mary users in a licensed spectrum,
is a fundamental problem in cognitive radio. … In this paper, spectrum-sensing algorithms are …

… to further improve the detection performance and take these algorithms as special cases.
Motivated by this, we propose a α-combinatorial spectrum sensing algorithm based on the …

… Spectrum sensing in cognitive radio (CR) is a basic requirement to protect the primary user
(PU) from bad interference. However, sensing has two main challenges. Firstly, the CR is …

… In fact, feature detection includes a wide class of spectrum sensing algorithms. These
techniques share the concept that knowing partial or full information about the PU signal features …