Modern signal processing (SP) methods rely very heavily on probability and statistics to
solve challenging SP problems. SP methods are now expected to deal with ever more …

We consider a joint radar parameter estimation and communication system using orthogonal
time frequency space (OTFS) modulation. The scenario is motivated by vehicular …

Situation-aware technologies enabled by multitarget tracking will lead to new services and
applications in fields such as autonomous driving, indoor localization, robotic networks, and …

We consider the estimation of a random vector observed through a linear transform followed
by a componentwise probabilistic measurement channel. Although such linear mixing …

Finding the sparsest solution to underdetermined systems of linear equations y= Φ x is NP-
hard in general. We show here that for systems with “typical”/“random” Φ, a good …

In this tutorial, a unified treatment of the topic of SuperPosition Coding (SPC) aided
communications systems is offered, where we focus our attention not only on the theoretical …

Random matrix theory has found many applications in physics, statistics and engineering
since its inception. Although early developments were motivated by practical experimental …

Multiple-input multiple-output (MIMO) technology constitutes a breakthrough in the design of
wireless communications systems, and is already at the core of several wireless standards …

Novel low-density signature (LDS) structure is proposed for transmission and detection of
symbol-synchronous communication over memoryless Gaussian channel. Given N as the …

This paper provides a comprehensive study of interleave-division multiple-access (IDMA)
systems. The IDMA receiver principles for different modulation and channel conditions are …