Rotating machinery covers a broad range of mechanical equipment and plays a significant
role in industrial applications. It generally operates under tough working environment and is …

Multi-focus image fusion is an effective technique to extend the depth-of-field of optical
lenses by creating an all-in-focus image from a set of partially focused images of the same …

We present a generic extension of variational mode decomposition (VMD) algorithm to
multivariate or multichannel data. The proposed method utilizes a model for multivariate …

Despite empirical mode decomposition (EMD) becoming a de facto standard for time-
frequency analysis of nonlinear and non-stationary signals, its multivariate extensions are …

Neural networks have been successfully employed in various domains such as
classification, regression and clustering, etc. Generally, the back propagation (BP) based …

This book was written in response to the growing demand for a text that provides a unified
treatment of linear and nonlinear complex valued adaptive filters, and methods for the …

Emotion modeling and recognition has drawn extensive attention from disciplines such as
psychology, cognitive science, and, lately, engineering. Although a significant amount of …

This article addresses data-driven time-frequency (TF) analysis of multivariate signals, which
is achieved through the empirical mode decomposition (EMD) algorithm and its noise …

In bearing fault diagnosis, multichannel data can contain more abundant and complete fault
information to alleviate the influence of accidental factors in a single channel. To fully …

Accurate day-ahead peak load forecasting is crucial not only for power dispatching but also
has a great interest to investors and energy policy maker as well as government. Literature …