The emerging massive/large-scale multiple-input multiple-output (LS-MIMO) systems that
rely on very large antenna arrays have become a hot topic of wireless communications …

This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …

В книге рассматриваются основные разновидности адаптивных фильтров и их
применение в радиотехнических системах и системах связи. Дается представление о …

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

Quaternion neural networks have recently received an increasing interest due to noticeable
improvements over real-valued neural networks on real world tasks such as image, speech …

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 …

Complex-valued random signals are embedded in the very fabric of science and
engineering, yet the usual assumptions made about their statistical behavior are often a …

The multivariate empirical mode decomposition (MEMD) algorithm has been recently
proposed in order to make empirical mode decomposition (EMD) suitable for processing of …

Complex-valued signals occur in many areas of science and engineering and are thus of
fundamental interest. In the past, it has often been assumed, usually implicitly, that complex …

Applications of complex-valued neural networks (CVNNs) have expanded widely in recent
years-in particular in radar and coherent imaging systems. In general, the most important …