A thorough study of the literature suggests that greater attention has to be paid to power line
noise measurements, characterization, and modeling. Several studies show that significant …

Efficient and robust online processing techniques for irregularly structured data are crucial in
the current era of data abundance. In this paper, we propose a graph/network version of the …

We review three different approaches to investigate the non-equilibrium stochastic dynamics
of a Josephson junction affected by Lévy-distributed current fluctuations. First, we study the …

As irregularly structured data representations, graphs have received a large amount of
attention in recent years and have been widely applied to various real-world scenarios such …

The mixture of wireless and power line communications (PLC) is vital for implementing new
applications in smart grid and vehicular communications. In this work, we investigate the …

We introduce an adaptive graph normalized least mean pth power (GNLMP) algorithm that
utilizes graph signal processing (GSP) techniques, including bandlimited filtering and node …

This paper presents a comprehensive analytical study of the average bit error probability
(ABEP) performance of multiple-input multiple output (MIMO) communication systems …

Within the power line communication (PLC) network, a large number of electronic devices
are connected, and environmental factors can cause unusual behavior, leading to high …

This paper proposes Graph Signal Adaptive Message Passing (GSAMP), a novel message
passing method that simultaneously conducts online prediction, missing data imputation …

DOA estimation in the presence of impulsive signals and noises is a challenging issue.
Conventional and fractional lower order based methods do not work properly in the …