Principal curves are defined as self-consistent smooth curves passing through the middle of
the data, and they have been used in many applications of machine learning as a …

This article presents a tutorial on multi-user multiple-antenna wireless systems with a very
large number of antennas, known as massive multi-input multi-output (MIMO) systems …

In this work, decision feedback (DF) detection algorithms based on multiple processing
branches for multi-input multi-output (MIMO) spatial multiplexing systems are proposed. The …

The main challenge of massive machine-type communications (mMTC) is the joint activity
and signal detection of devices. The mMTC scenario with many devices transmitting data …

In this work, we propose a novel adaptive reduced-rank receive processing strategy based
on joint preprocessing, decimation and filtering (JPDF) for large-scale multiple-antenna …

In this letter, methods and corresponding complexities for fast matrix inversion updates in the
context of massive multiple-input multiple-output (MIMO) are studied. In particular, we …

It is well-known that the Decision Feedback Equalizer (DFE) outperforms the Linear
Equalizer (LE) for highly dispersive channels. For time-varying channels, adaptive …

In the last decade, kernel methods have become established techniques to perform
nonlinear signal processing. Thanks to their foundation in the solid mathematical framework …

In this paper, we consider a two-hop wireless sensor network (WSN) with multiple relay
nodes where the amplify-and-forward (AF) scheme is employed. We present strategies to …

A fast algorithm for inverse Cholesky factorization is proposed, to compute a triangular
square-root of the estimation error covariance matrix for Vertical Bell Laboratories Layered …