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 …
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
A Kulkarni, T Mohsenin - … Transactions on Circuits and Systems I …, 2017 - ieeexplore.ieee.org
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 …
[PDF][PDF] Provably secure and efficient audio compression based on compressive sensing
EW Abood, ZA Hussien, HA Kawi… - International Journal of …, 2023 - academia.edu
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 …
Incipient broken rotor bar detection in induction motors using vibration signals and the orthogonal matching pursuit algorithm
C Morales-Perez, J Rangel-Magdaleno… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
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 …
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 …
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 …
Joint image compression–encryption scheme using entropy coding and compressive sensing
Y Song, Z Zhu, W Zhang, L Guo, X Yang, H Yu - Nonlinear Dynamics, 2019 - Springer
Abstract Recently, compressive sensing (CS)-based joint compression–encryption schemes
have been widely investigated due to their high efficiency and good security for images …
have been widely investigated due to their high efficiency and good security for images …