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 …

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 …

Matching filtering has been proven to be the optimal spectrum sensing algorithm under
Gaussian white noise. However, the application of this algorithm is limited because of its …

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

In this paper, we study the distributed cooperative spectrum sensing in heterogeneous
cognitive radio networks, where each secondary user (SU) adopts a different spectrum …

Inspired by the concept of sub-Nyquist sampling, in this paper, a receiver architecture of
sensor arrays for jointly estimating the frequency and direction-of-arrival (DOA) of the …

An energy detection based cooperative spectrum sensing approach using Fuzzy c-means
clustering is proposed in this work for cognitive radio system. The objective here is to …

To accommodate multi-class scenarios, area under the receiver operating characteristic
(ROC) curve (AUC) has been extended to volume under the ROC hyper-surface (VUHS) to …

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 …

Distributed detection is an essential task of wireless sensor networks (WSNs) with stringent
limitations of energy and processing resources. In most of detection scenarios, the optimal …