Owning to electricity market deregulation, residential customers now enjoy the freedom to
choose their preferred electricity retailers. This paper investigates the application of …

Abstract Information Theoretic Learning (ITL) methods have been applied in a variety of
applications as dynamic modeling, equalization and blind source separation. Usually, such …

Correntropy has been successfully used for signal processing in a large variety of
applications. Usually, correntropy estimator uses a Gaussian kernel, which leads to a …

Signals and Images: Advances and Results in Speech, Estimation, Compression,
Recognition, Filtering, and Processing cohesively combines contributions from field experts …

In the context of Post-Nonlinear (PNL) mixtures, source separation can be performed in a
two-stage approach, which encompasses a nonlinear and a linear compensation part. In the …

This paper proposes an architecture for multivariate probability density estimation using the
Parzen window approach. As a non-parametric method, the Parzen approach provides …

In blind channel equalization, the use of criteria from the field of information theoretic
learning (ITL) has already proved to be a promising alternative, since the use of the high …

In supervised infinite impulse response adaptive filtering, approximate gradient‐based
approaches are the usual option among optimisation methods. When based on the mean …

A time-frequency pooled angular spectrum capable of suppressing spatial aliasing
effectively is studied for a widely spaced microphone array to estimate multi-source …

Benefitting from the modernization of power system, electricity end-users, especially
residential customers, have played more active roles in the demand side. With authority to …