A review of sparse recovery algorithms
EC Marques, N Maciel, L Naviner, H Cai, J Yang - IEEE access, 2018 - ieeexplore.ieee.org
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 …
high-power processing, large memory density, and increased energy consumption. In …
Compressive sensing-based IoT applications: A review
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 …
enables numerous innovative services related to healthcare, manufacturing, smart cities and …
In-memory analog solution of compressed sensing recovery in one step
S Wang, Y Luo, P Zuo, L Pan, Y Li, Z Sun - Science Advances, 2023 - science.org
Modern analog computing, by gaining momentum from nonvolatile resistive memory
devices, deals with matrix computations. In-memory analog computing has been …
devices, deals with matrix computations. In-memory analog computing has been …
Single sensor to estimate DOA with programmable metasurface
M Lin, M Xu, X Wan, H Liu, Z Wu, J Liu… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
With the small sampling length, a novel Direction-of-Arrival (DOA) estimation method based
on a single programmable metasurface sensor is proposed in this article. Serving as a …
on a single programmable metasurface sensor is proposed in this article. Serving as a …
Low overhead architectures for OMP compressive sensing reconstruction algorithm
Orthogonal Matching Pursuit (OMP) is an important compressive sensing (CS) recovery and
sparsity inducing algorithm, which has potential in various emerging applications ranging …
sparsity inducing algorithm, which has potential in various emerging applications ranging …
Incipient broken rotor bar detection in induction motors using vibration signals and the orthogonal matching pursuit algorithm
A methodology for automatic incipient broken rotor bar detection in induction motors (IMs) is
presented. Sparse representations of signals are applied as a diagnosis technique. The …
presented. Sparse representations of signals are applied as a diagnosis technique. The …
[PDF][PDF] Provably secure and efficient audio compression based on compressive sensing
The advancement of systems with the capacity to compress audio signals and
simultaneously secure is a highly attractive research subject. This is because of the need to …
simultaneously secure is a highly attractive research subject. This is because of the need to …
Hardware architecture of a digital piecewise linear chaotic map with perturbation for pseudorandom number generation
Piecewise linear chaotic map (PWLCM) is a simple chaotic system popularly used for
generating pseudorandom numbers (PRN). Digital implementation of PWLCM degrades the …
generating pseudorandom numbers (PRN). Digital implementation of PWLCM degrades the …
Low-complexity privacy-preserving compressive analysis using subspace-based dictionary for ECG telemonitoring system
Compressive sensing (CS) is attractive in long-term electrocardiography (ECG)
telemonitoring to extend life-time for resource-constrained wireless wearable sensors …
telemonitoring to extend life-time for resource-constrained wireless wearable sensors …
FPGA implementation of an improved OMP for compressive sensing reconstruction
J Li, P Chow, Y Peng, T Jiang - IEEE Transactions on Very …, 2020 - ieeexplore.ieee.org
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 …
implementation with **linx Vivado high-level synthesis (HLS). We use the Gram-Schmidt …