Results 51 to 60 of about 1,669,292 (291)
Three-Dimensional Imaging of Terahertz Circular SAR with Sparse Linear Array
Sensors, 2018 Due to the non-contact detection ability of radar and the harmlessness of terahertz waves to the human body, three-dimensional (3D) imaging using terahertz synthetic aperture radar (SAR) is an efficient method of security detection in public areas.
Jubo Hao, Jin Li, Yiming Pi
doaj +1 more source
Sparse Auto-Calibration for Radar Coincidence Imaging with Gain-Phase Errors
Sensors, 2015 Radar coincidence imaging (RCI) is a high-resolution staring imaging technique without the limitation of relative motion between target and radar. The sparsity-driven approaches are commonly used in RCI, while the prior knowledge of imaging models needs ...
Xiaoli Zhou +3 more
doaj +1 more source
An asynchronous parallel approach to sparse recovery [PDF]
2017 Information Theory and Applications Workshop (ITA), 2017 5 pages, 2 ...
Deanna Needell, Tina Woolf
openaire +4 more sources
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
IEEE Access, 2017 This paper addresses the recovery and demixing problem of signals that are sparse in some general dictionary. Involved applications include source separation, image inpainting, super-resolution, and restoration of signals corrupted by clipping ...
Fei Wen +5 more
doaj +1 more source
Deep Unfolding Based Space-Time Adaptive Processing Method for Airborne Radar
Leida xuebao, 2022 The Sparse Recovery Space-Time Adaptive Processing (SR-STAP) method can use a small number of training range cells to effectively suppress the clutter of airborne radar.
Hangui ZHU +4 more
doaj +1 more source
Sparse signal recovery from sparsely corrupted measurements [PDF]
2011 IEEE International Symposium on Information Theory Proceedings, 2011 We investigate the recovery of signals exhibiting a sparse representation in a general (i.e., possibly redundant or incomplete) dictionary that are corrupted by additive noise admitting a sparse representation in another general dictionary. This setup covers a wide range of applications, such as image inpainting, super-resolution, signal separation ...
Christoph Studer +3 more
openaire +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
UAV-Mounted Mobile Base Station Placement via Sparse Recovery
IEEE Access, 2020 In order to deploy minimum number of unmanned aerial vehicle (UAV)-mounted mobile base stations (MBSs) to service all given ground terminals, this paper proposes an MBS placement based on sparse recovery (MBS-PBSR) algorithm.
Min Huang +3 more
doaj +1 more source
Molecular Oncology, EarlyView.Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley +1 more source