Results 41 to 50 of about 18,243 (295)
Compact representation of wall-bounded turbulence using compressive sampling [PDF]
, 2014 Compressive sampling is well-known to be a useful tool used to resolve the energetic content of signals that admit a sparse representation. The broadband temporal spectrum acquired from point measurements in wall-bounded turbulence has precluded the ...
Bourguignon, J.-L. +3 more
core +2 more sources
Computer-Vision-Oriented Adaptive Sampling in Compressive Sensing
SensorsCompressive sensing (CS) is recognized for its adeptness at compressing signals, making it a pivotal technology in the context of sensor data acquisition.
Luyang Liu +4 more
doaj +1 more source
Quadrature Compressive Sampling SAR Imaging [PDF]
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018 4 pages, 2 figures, submitted to IGARSS ...
Huizhang Yang +3 more
openaire +2 more sources
Sample Compression Schemes for VC Classes [PDF]
Journal of the ACM, 2016 Sample compression schemes were defined by Littlestone and Warmuth (1986) as an abstraction of the structure underlying many learning algorithms. Roughly speaking, a sample compression scheme of size k means that given an arbitrary list of labeled examples, one can retain only k of them in a ...
Moran, S., Yehudayoff, A.
openaire +3 more sources
Sample Compression Schemes for Balls in Graphs
SIAM Journal on Discrete Mathematics, 2023 27 pages, 8 ...
Chalopin, Jérémie +4 more
openaire +5 more sources
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
IEEE Access, 2018 Failures of rolling element bearings are amongst the main causes of machines breakdowns. To prevent such breakdowns, bearing health monitoring is performed by collecting data from rotating machines, extracting features from the collected data, and ...
Hosameldin Ahmed, Asoke K. Nandi
doaj +1 more source
Basis Pursuit With Sparsity Averaging for Compressive Sampling of Iris Images
IEEE Access, 2022 This paper proposes novel compressive sampling (CS) of colored iris images using three RGB iterations of basis pursuit (BP) with sparsity averaging (SA), called RGB-BPSA.
Tariq Rahim +6 more
doaj +1 more source
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Remote SensingSpaceborne LiDAR systems are crucial for Earth observation but face hardware constraints, thus limiting resolution and data processing. We propose integrating compressed sensing and diffusion generative models to reconstruct high-resolution satellite ...
Andres Ramirez-Jaime +9 more
doaj +1 more source