Phase retrieval consists in the recovery of a complex-valued signal from intensity-only
measurements. As it pervades a broad variety of applications, many researchers have …

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 …

Deep learning has gained great popularity due to its widespread success on many inference
problems. We consider the application of deep learning to the sparse linear inverse …

Over the last decade or so, Approximate Message Passing (AMP) algorithms have become
extremely popular in various structured high-dimensional statistical problems. Although the …

We develop a broadband channel estimation algorithm for millimeter wave (mmWave)
multiple input multiple output (MIMO) systems with few-bit analog-to-digital converters …

We propose a novel method for compressed sensing recovery using untrained deep
generative models. Our method is based on the recently proposed Deep Image Prior (DIP) …

The supplementary appendix contains additional details about AMP algorithms for
rectangular matrices and the rectangular generalized invariant universality class of …

Channel estimation is one of the main challenges for implementing reconfigurable intelligent
surface (RIS)-aided communication system with a large number of antennas at the base …

This paper deals with channel estimation in reconfigurable intelligent surface (RIS) aided
multiple-input multiple-output (MIMO) time-division duplexing systems. In a typical RIS …

Approximate Message Passing algorithms for rotationally invariant matrices Page 1 The
Annals of Statistics 2022, Vol. 50, No. 1, 197–224 https://doi.org/10.1214/21-AOS2101 © …