Permutation Entropy (PE) is a cost effective tool for summarizing the complexity of a time
series. It has been used in many applications including damage detection, disease …

In the theory of belief functions, the evidence combination is a kind of decision-level
information fusion. Given two or more Basic Belief Assignments (BBAs) originated from …

The smoothness of graph signals has found desirable real applications for processing
irregular (graph-based) signals. When the latent sources of the mixtures provided to us as …

In Part I of this paper, we proposed and analyzed a novel algorithmic framework, termed
penalty dual decomposition (PDD), for the minimization of a nonconvex nonsmooth …

Partial discharge (PD) defects are initiated in the electrical machines over different life
stages. The intensity of PD defects increases continuously with time, which may lead to …

Domain mismatch problem caused by speaker-unrelated feature has been a major topic in
speaker recognition. In this paper, we propose an explicit disentanglement framework to …

Partial discharge (PD) source signals concurring at different internal positions in gas
insulated switchgear (GIS) may be mixed linearly or nonlinearly when they are propagating …

The smoothness of the graph signals on predefined/constructed graphs appears in many
natural applications of processing unstructured (ie, graph-based) data. In the case of latent …

The derivatives of the probability density or regression functions contain important
information concerning a multivariate data set, such as modal regions. Despite this …

Digital documents are usually degraded during the scanning process due to the contents of
the backside of the scanned manuscript. This is often caused by the show-through effect, ie …