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 …
Comparison of common algorithms for single-pixel imaging via compressed sensing
W Zhao, L Gao, A Zhai, D Wang - Sensors, 2023 - mdpi.com
Single-pixel imaging (SPI) uses a single-pixel detector instead of a detector array with a lot
of pixels in traditional imaging techniques to realize two-dimensional or even multi …
of pixels in traditional imaging techniques to realize two-dimensional or even multi …
Wearable sensor devices for early detection of Alzheimer disease using dynamic time war** algorithm
Alzheimer disease is a significant problem in public health. Alzheimer disease causes
severe problems with thinking, memory and activities. Alzheimer disease affected more on …
severe problems with thinking, memory and activities. Alzheimer disease affected more on …
A sharp condition for exact support recovery with orthogonal matching pursuit
Support recovery of sparse signals from noisy measurements with orthogonal matching
pursuit (OMP) has been extensively studied. In this paper, we show that for any K-sparse …
pursuit (OMP) has been extensively studied. In this paper, we show that for any K-sparse …
Neutrosophic AHP-Delphi Group decision making model based on trapezoidal neutrosophic numbers
M Abdel-Basset, M Mohamed, AK Sangaiah - Journal of Ambient …, 2018 - Springer
The main objective of this research is to study the integration of Analytic Hierarchy Process
(AHP) into Delphi framework in neutrosophic environment and present a new technique for …
(AHP) into Delphi framework in neutrosophic environment and present a new technique for …
A typical IoT architecture-based regular monitoring of arthritis disease using time wrap** algorithm
In the midst of all the applications empowered by the Internet of Things (IoT), constant health
surveying framework is an especially essential one. The leg movement monitoring …
surveying framework is an especially essential one. The leg movement monitoring …
Measuring progress in dictionary learning for language model interpretability with board game models
What latent features are encoded in language model (LM) representations? Recent work on
training sparse autoencoders (SAEs) to disentangle interpretable features in LM …
training sparse autoencoders (SAEs) to disentangle interpretable features in LM …
[HTML][HTML] Optimal RIP bounds for sparse signals recovery via ℓp minimization
R Zhang, S Li - Applied and Computational Harmonic Analysis, 2019 - Elsevier
In this paper, we present a unified analysis of RIP bounds for sparse signals recovery by
using ℓ p minimization with 0< p≤ 1 and provide optimal RIP bounds which can guarantee …
using ℓ p minimization with 0< p≤ 1 and provide optimal RIP bounds which can guarantee …
A Proof of Conjecture on Restricted Isometry Property Constants
In this paper, we give a complete answer to the conjecture on restricted isometry property
(RIP) constants δ tk (0<; t<;(4/3)), which was proposed by T. Cai and A. Zhang. We have …
(RIP) constants δ tk (0<; t<;(4/3)), which was proposed by T. Cai and A. Zhang. We have …
[HTML][HTML] Sharp sufficient conditions for stable recovery of block sparse signals by block orthogonal matching pursuit
In this paper, we use the block orthogonal matching pursuit (BOMP) algorithm to recover
block sparse signals x from measurements y= A x+ v, where v is an ℓ 2-bounded noise …
block sparse signals x from measurements y= A x+ v, where v is an ℓ 2-bounded noise …