Results 31 to 40 of about 2,589,305 (204)

From compressive sampling to compressive tasking: retrieving semantics in compressed domain with low bandwidth

PhotoniX, 2022
High-throughput imaging is highly desirable in intelligent analysis of computer vision tasks. In conventional design, throughput is limited by the separation between physical image capture and digital post processing.
Zhihong Zhang, Bo Zhang, Xin Yuan, Siming Zheng, Xiongfei Su, Jinli Suo, David J. Brady, Qionghai Dai   +7 more
doaj   +1 more source

Compressive video sampling [PDF]

, 2009
Compressive sampling is a novel framework that exploits sparsity of a signal in a transform domain to perform sampling below the Nyquist rate. In this paper, we apply compressive sampling to reduce the sampling rate of images/video.
Stankovic, L., Cheng, S., Stankovic, V.
core   +4 more sources

Compressive Covariance Sampling [PDF]

, 2013
—Most research efforts in the field of compressed sensing have been pointed towards analyzing sampling and re-construction techniques for sparse signals, where sampling rates below the Nyquist rate can be reached.
G. Leus, Daniel Romero, Geert Leus, D. Romero   +3 more
core   +1 more source

A reconfigurable real-time compressive-sampling camera for biological applications. [PDF]

PLoS ONE, 2011
Many applications in biology, such as long-term functional imaging of neural and cardiac systems, require continuous high-speed imaging. This is typically not possible, however, using commercially available systems.
Bo Fu, Mark C Pitter, Noah A Russell
doaj   +1 more source

Smaller is better: nanobodies meet NMR

FEBS Letters, EarlyView.
Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley   +1 more source

Generative Diffusion Models for Compressed Sensing of Satellite LiDAR Data: Evaluating Image Quality Metrics in Forest Landscape Reconstruction

Remote Sensing
Spaceborne 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, Gonzalo R. Arce, Nestor Porras-Diaz, Oleg Ieremeiev, Andrii Rubel, Vladimir Lukin, Mateusz Kopytek, Piotr Lech, Jarosław Fastowicz, Krzysztof Okarma   +9 more
doaj   +1 more source

Compressive Sampling and Feature Ranking Framework for Bearing Fault Classification With Vibration Signals

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, Rita Magdalena, I Putu Agus Eka Pratama, Ledya Novamizanti, I Nyoman Apraz Ramatryana, Soo Young Shin, Dong Seong Kim   +6 more
doaj   +1 more source

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

Single-Pixel Tactile Skin via compressive sampling

Communications Engineering
Large-area, high-speed tactile skins could improve robotics, prosthetics, and human-machine interfaces, but scaling them is limited by wiring complexity and readout bandwidth.
Ariel Slepyan, Laura Xing, Rudy Zhang, Nitish Thakor   +3 more
doaj   +1 more source