In statistical inference hypotheses related to different kinds of phenomena are formulated,
and then data are collected and analyzed, which either confirm or falsify these hypotheses …

This paper focuses on improving the detection performance of spectrum sensing in cognitive
radio (CR) networks under complicated electromagnetic environment. Some existing fast …

Motivated by the simplicity of energy detector and capability of higher order and fractional
lower order statistics in non-Gaussian signal processing, this paper proposes a new …

The spectrum sensing performance depends on the accuracy of the detection about whether
primary users are busy or idle. Previous studies on cognitive radio spectrum sensing have …

To achieve the full multiplexing gain of a-multiuser multiple-input–multiple-output (MIMO)
overlay cognitive radio (CR) network, a distributed opportunistic interference alignment …

Subpixel hyperspectral detection is a kind of method which tries to locate targets in a
hyperspectral image when the spectrum of the targets is given. Due to its subpixel nature …

Cognitive radio (CR) is a potential strategy for opportunistic access of idle resources to solve
the conflicts between spectrum scarcity and underutilization. Spectrum sensing (SS) …

Reliable event detection is an essential task of wireless sensor networks (WSNs) in which
there are different types of uncertainty. In this paper, we consider a decentralized detection …

In this paper, the multaiband cooperative spectrum sensing problem in cognitive radio
network is investigated, which focuses on maximizing the total throughput under the …

In this paper, we consider the Spectrum Sensing (SS) problem in Cognitive Radio (CR). SS
is an important task and one of the main functions of CR, as it has the ability to detect the …