Parametrized quasi-soft thresholding operator for compressed sensing and matrix completion
Sign Up to like & getrecommendations! Published in 2020 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-020-01176-w
Abstract: Compressed sensing and matrix completion are two new approaches to signal acquisition and processing. Even though the two approaches are different, there is a close connection between them. We introduce a parametrized quasi-soft thresholding operator… read more here.
Keywords: compressed sensing; sensing matrix; parametrized quasi; matrix completion ... See more keywords
A Method of Reweighting the Sensing Matrix for Compressed Sensing
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3054807
Abstract: In compressed sensing, a small enough restricted isometry constant (RIC) of the sensing matrix satisfying the restricted isometry property (RIP) is the powerful guarantee on the precise reconstruction of a sparse discrete signal. Under a… read more here.
Keywords: tex math; sensing matrix; inline formula;
Sparsity Order Estimation for Compressed Sensing System using sparse Binary Sensing Matrix
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3161523
Abstract: We present a composite Compressed Sensing system for the acquisition and recovery of compressible signals, where a sparse Binary Sensing Matrix aids Sparsity Order Estimation, and a Gaussian Sensing Matrix aids reconstruction. The Binary Sensing… read more here.
Keywords: sparsity order; order; binary sensing; sensing matrix ... See more keywords
Fast Construction of Measurement Matrix and Sensing Matrix With Dual Adaptive Cross Approximation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Antennas and Wireless Propagation Letters"
DOI: 10.1109/lawp.2024.3481498
Abstract: To accelerate the solution of current coefficients in the compressive sensing method of moments, a new strategy for constructing the measurement matrix is proposed, as well as the sensing matrix is optimized. First, the far-field… read more here.
Keywords: measurement matrix; sensing matrix; matrix; adaptive cross ... See more keywords
One-Bit Compressive Sensing: Can We Go Deep and Blind?
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3187318
Abstract: One-bit compressive sensing is concerned with the accurate recovery of an underlying sparse signal of interest from its one-bit noisy measurements. The conventional signal recovery approaches for this problem are mainly developed based on the… read more here.
Keywords: sensing matrix; bit; one bit; bit compressive ... See more keywords
Sensing Matrix Design via Mutual Coherence Minimization for Electromagnetic Compressive Imaging Applications
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2017.2671398
Abstract: Compressive sensing (CS) theory states that sparse signals can be recovered from a small number of linear measurements $y=Ax$ using $\ell _1\text{-}$ norm minimization techniques, provided that the sensing matrix satisfies a restricted isometry property… read more here.
Keywords: mutual coherence; coherence; sensing matrix; imaging ... See more keywords
Swarm UAV SAR for 3-D Imaging: System Analysis and Sensing Matrix Design
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3221775
Abstract: The unmanned aerial vehicle (UAV) is a low-cost and high-efficiency lightweight synthetic aperture radar (SAR)-mounted platform that can be used for a variety of military and civilian missions. Using multiple UAVs to form a swarm… read more here.
Keywords: sensing matrix; sar; matrix design; swarm uav ... See more keywords