Extremely large-scale antenna arrays, tremendously high frequencies, and new types of
antennas are three clear trends in multi-antenna technology for supporting the sixth …

As a fundamental optical approach to interferometry, Sagnac interference has been widely
used for reflection manipulation, precision measurements, and spectral engineering in …

Recent advances in deep learning have relied heavily on the use of large Transformers due
to their ability to learn at scale. However, the core building block of Transformers, the …

Light and sound are the most ubiquitous forms of waves, associated with a variety of
phenomena and physical effects such as rainbows and echoes. Light and sound, both …

Objective measures of image quality generally operate by comparing pixels of a “degraded”
image to those of the original. Relative to human observers, these measures are overly …

Most of the real-life signals are non-stationary in nature. The examples of such signals
include biomedical signals, communication signals, speech, earthquake signals, vibration …

Blind-spot network (BSN) and its variants have made significant advances in self-supervised
denoising. Nevertheless, they are still bound to synthetic noisy inputs due to less practical …

Direct model predictive control (MPC) with reference tracking, also referred to as finite
control set MPC (FCS-MPC), has gained significant attention in recent years, mainly from the …

Research in graph signal processing (GSP) aims to develop tools for processing data
defined on irregular graph domains. In this paper, we first provide an overview of core ideas …

Nonlinear system identification is an extremely broad topic, since every system that is not
linear is nonlinear. That makes it impossible to give a full overview of all aspects of the fi eld …