Results 61 to 70 of about 2,383 (165)
Ecological Monographs, Volume 95, Issue 1, February 2025.Abstract Natural and anthropogenic stressors alter the composition, biomass, and nutritional quality of primary producers and microorganisms, the basal organisms that synthesize the biomolecules essential for metazoan growth and survival (i.e., basal resources).
Kim Vane +2 more
wiley +1 more source
IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.In this work, a method incorporating a priori binary information is introduced into programmable metasurface‐based microwave computational imaging (PMS‐MCI) for recovering the shape of metallic objects. Specifically, the reconstruction problem of metallic objects is firstly linearised using the physical optical approximation.
Fang‐Fang Wang +5 more
wiley +1 more source
Sparse Reconstruction of Sound Field Using Bayesian Compressive Sensing and Equivalent Source Method. [PDF]
Sensors (Basel), 2023 Xiao Y, Yuan L, Wang J, Hu W, Sun R.
europepmc +1 more source
Optics Express, 2019 Fast source optimization (SO) is in demand urgently for holistic lithography on-line at 14-5 nm nodes. Our earlier works of fast compressive sensing (CS) SO methods adopted randomly sampling monitoring pixels on layout patterns, consequently resulting in
Yiyu Sun +5 more
semanticscholar +1 more source
Enhanced ISAR imaging by exploiting the continuity of the target scene [PDF]
, 2013 This paper presents a novel inverse synthetic aperture radar (ISAR) imaging method by exploiting the inherent continuity of the scatterers on the target scene to obtain enhanced target images within a Bayesian framework.
Yang, Lei +4 more
core +1 more source
Distributed Compressive Sensing for Wireless Signal Transmission in Structural Health Monitoring: An Adaptive Hierarchical Bayesian Model-Based Approach. [PDF]
Sensors (Basel), 2023 Wang Z, Sun S, Li Y, Yue Z, Ding Y.
europepmc +1 more source
Análise estatística do método compressive sensing aplicado a dados sísmicos [PDF]
, 2016 O Compressive Sensing (CS) é uma técnica de processamento de dados eficiente na recuperação e construção de sinais a partir de uma taxa de amostragem menor que a requerida pelo teorema de Shannon-Nyquist.
Marinho, Eberton da Silva
core
Comparison of Common Algorithms for Single-Pixel Imaging via Compressed Sensing. [PDF]
Sensors (Basel), 2023 Zhao W, Gao L, Zhai A, Wang D.
europepmc +1 more source
An Efficient Compressive Sensing Event-Detection Scheme for Internet of Things System Based on Sparse-Graph Codes. [PDF]
Sensors (Basel), 2023 Cai J, Xu X, Zhu H, Cheng J.
europepmc +1 more source