Nowadays, a large amount of information has to be transmitted or processed. This implies
high-power processing, large memory density, and increased energy consumption. In …

Hybrid analog/digital multiple-input multiple-output architectures were recently proposed as
an alternative for fully digital-precoding in millimeter wave wireless communication systems …

The Internet of Things (IoT) holds great promises to provide an edge cutting technology that
enables numerous innovative services related to healthcare, manufacturing, smart cities and …

Modern analog computing, by gaining momentum from nonvolatile resistive memory
devices, deals with matrix computations. In-memory analog computing has been …

In-memory computing is a promising non-von Neumann approach where certain
computational tasks are performed within resistive memory units by exploiting their physical …

In this paper, we present a novel architecture based on field-programmable gate arrays
(FPGAs) for the reconstruction of compressively sensed signal using the orthogonal …

Orthogonal Matching Pursuit (OMP) is an important compressive sensing (CS) recovery and
sparsity inducing algorithm, which has potential in various emerging applications ranging …

This article proposes an improved orthogonal matching pursuit (OMP) algorithm and its
implementation with **linx Vivado high-level synthesis (HLS). We use the Gram-Schmidt …

In this paper, we present a new performance guarantee for Orthogonal Matching Pursuit
(OMP) in the context of the Direction Of Arrival (DOA) estimation problem. For the first time …

Based on the efficient inverse Cholesky factorization, we propose an implementation of OMP
(called as version 0, ie, v0) and its four memory-saving versions (ie, the proposed v1, v2, v3 …