The rapid advancement of artificial intelligence technologies has given rise to diversified
intelligent services, which place unprecedented demands on massive connectivity and …

Convex optimization methods are widely used in the design and analysis of communication
systems and signal processing algorithms. This tutorial surveys some of recent progress in …

This article investigates intelligent reflecting surface (IRS) enabled non-line-of-sight (NLoS)
wireless sensing, in which an IRS is deployed to assist an access point (AP) to sense a …

Beamforming is a signal processing technique to steer, shape, and focus an electromagnetic
(EM) wave using an array of sensors toward a desired direction. It has been used in many …

Speech enhancement and separation are core problems in audio signal processing, with
commercial applications in devices as diverse as mobile phones, conference call systems …

Coprime array offers a larger array aperture than uniform linear array with the same number
of physical sensors, and has a better spatial resolution with increased degrees of freedom …

Adaptive beamformers are sensitive to model mismatch, especially when the desired signal
is present in training snapshots or when the training is done using data samples. In contrast …

The Capon (1969) beamformer has better resolution and much better interference rejection
capability than the standard (data-independent) beamformer, provided that the array …

This paper considers the problem of downlink transmit beamforming for wireless
transmission and downstream precoding for digital subscriber wireline transmission, in the …

In this article, an overview of advanced convex optimization approaches to-multisensor
beamforming is presented, and connections are drawn between different types of …