The fifth-generation (5G) of cellular networks and beyond requires massive connectivity,
high data rates, and low latency. Millimeter-wave (mmWave) communications is a key 5G …

When recovering a sparse signal from noisy compressive linear measurements, the
distribution of the signal's non-zero coefficients can have a profound effect on recovery …

We consider a class of approximated message passing (AMP) algorithms and characterize
their high-dimensional behavior in terms of a suitable state evolution recursion. Our proof …

Consider the recovery of an unknown signal x from quantized linear measurements. In the
one-bit compressive sensing setting, one typically assumes that x is sparse, and that the …

In this survey paper, our goal is to discuss recent advances of compressive sensing (CS)
based solutions in wireless sensor networks (WSNs) including the main ongoing/recent …

In this work, we consider the problem of one-bit deep compressive sensing from both a
system design and a signal recovery perspective. In particular, we develop hybrid model …

Seeking sparse solutions of underdetermined linear systems is required in many areas of
engineering and science such as signal and image processing. The efficient sparse …

This paper considers the problem of estimating the parameters of a noisy signal which has
been quantized to one-bit via a time-varying thresholding operation. An expression for the …

This paper considers the problem of estimating the parameters of a signal using time-
varying thresholded noisy one-bit measurements. The problem is shown to be …

In this paper we consider the generalized approximate message passing (GAMP) algorithm
for recovering a sparse signal from modulo samples of randomized projections of the …