There has been growing interest in implementing massive MIMO systems by
...
In this paper we study the expectation maximization (EM) technique for
o...
In this article the author reviews José Bioucas-Dias' key contributions ...
Symbol-level precoding (SLP) has recently emerged as a new paradigm for
...
This study presents PRISM, a probabilistic simplex component analysis
ap...
In federated learning, models are learned from users' data that are held...
Adopting one-bit analog-to-digital convertors (ADCs) for massive
multipl...
Many contemporary applications in signal processing and machine learning...
In this paper we consider maximum-likelihood (ML) MIMO detection under
o...
Recently, the use of intelligent reflecting surface (IRS) has gained
con...
Hyperspectral super-resolution (HSR) is a problem that aims to estimate ...
Coarsely quantized MIMO signalling methods have gained popularity in the...
Consider the following problem: A multi-antenna base station (BS) sends
...
Most recently, there has been a flurry of research activities on studyin...
This paper considers the problem of constant envelope (CE) precoder desi...
This paper considers symbol-level precoding (SLP) for multiuser
multiple...
Massive multiple-input multiple-output (MIMO) has the potential to
subst...
Nonnegative matrix factorization (NMF) has become a workhorse for signal...
Consider a structured matrix factorization scenario where one factor is
...
This paper considers volume minimization (VolMin)-based structured
matri...
The dictionary-aided sparse regression (SR) approach has recently emerge...