Results 91 to 100 of about 1,002,666 (308)

Deterministic Construction of Compressed Sensing Matrices via Vector Spaces Over Finite Fields

IEEE Access, 2020
Compressed Sensing (CS) is a new signal processing theory under the condition that the signal is sparse or compressible. One of the central problems in compressed sensing is the construction of sensing matrices.
Xuemei Liu, Lihua Jia
doaj   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

Distributed quantization for compressed sensing

, 2014
We study distributed coding of compressed sensing (CS) measurements using vector quantizer (VQ). We develop a distributed framework for realizing optimized quantizer that enables encoding CS measurements of correlated sparse sources followed by joint ...
Chatterjee, Saikat,, Mikael Skoglund, Shirazinia, Amirpasha,, Saikat Chatterjee, Skoglund, Mikael,, Amirpasha Shirazinia   +5 more
core   +1 more source

Reconstruction of the Magnetic Particle Imaging System Matrix Using Symmetries and Compressed Sensing

Advances in Mathematical Physics, 2015
Magnetic particle imaging (MPI) is a tomographic imaging technique that allows the determination of the 3D spatial distribution of superparamagnetic iron oxide nanoparticles.
A. Weber, T. Knopp
doaj   +1 more source

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

Advanced Engineering Materials, EarlyView.
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich, Lenka Kunčická, Pavel Czernek, Zifan Wang   +3 more
wiley   +1 more source

Robust transmission techniques for block compressed sensing [PDF]

, 2018
Compressed sensing is famous for its compression performances over existing schemes in this field. Conventional researches aim at reaching the larger compression ratio at the encoder, with acceptable quality of reconstructed images at the decoder.
H.-C. Huang; F.-C. Chang; Y.-H. Chen; P.-L. Chen
core  

CMCS‐net: image compressed sensing with convolutional measurement via DCNN

IET Image Processing, 2020
Recently, deep learning methods have made a remarkable improvement in compressed sensing image recovery stage. In the compressed measurement stage, the existing methods measured by block by block owing to a huge measurement dictionary for the whole ...
Yahong Xie, Hailin Wang, Jianjun Wang
doaj   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Error control schemes for robust transmission with compressed sensing signals

, 2017
Compressed sensing is famous for its compression performances over existing schemes in this field. We apply compressed sensing to digital images for error-controlled transmission in this paper.
Huang, Hsiang-Cheh;Chen, Po-Liang;Chang, Feng-Cheng
core   +1 more source

SpectraMelt: An Open-Source A2I Simulator

Signals
The Nyquist Folding Receiver is an architecture that uses Compressed Sensing to convert analog radio frequency signals into digital signals. Analog-to-Digital Converter architectures that implement Compressed Sensing are collectively known as Analog-to ...
Peter Swartz, Saiyu Ren, Shuxia Sun, James Martin   +3 more
doaj   +1 more source