Results 101 to 110 of about 2,616,250 (281)
Distributed Compressed Sensing Aided Sparse Channel Estimation in FDD Massive MIMO System
Massive multi-input multi-output (MIMO), which employs large number of antennas at the base station, can significantly boost the spectral efficiency and multiplexing gain.
Ruoyu Zhang, Honglin Zhao, Jiayan Zhang
doaj +1 more source
Fully Distributed Cooperative Spectrum Sensing for Cognitive Radio Networks [PDF]
Cognitive radio networks (CRN) sense spectrum occupancy and manage themselves to operate in unused bands without disturbing licensed users. The detection capability of a radio system can be enhanced if the sensing process is performed jointly by a group ...
Rifà Pous, Helena +2 more
core
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Error control schemes for robust transmission with compressed sensing signals
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
GMTI on short sequences of pulses with compressed sensing
S.66-70Due to the sparse distribution of ground moving targets, compressed sensing (CS) is a natural approach for their detection. Especially the detection from short CPIs of around 100 pulses is of high interest, since it allows to monitor large areas ...
Prünte, Ludger
core +1 more source
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ +19 more
wiley +1 more source
Distributed variational sparse Bayesian compressed sensing based on factor graphs
A distributed variational sparse Bayesian compressed spectrum sensing algorithm based on factor graph was proposed,which decomposed the global spectrum sensing problem into local problem based on factor and variation.Belief propagation was used for the ...
Cui-tao ZHU +3 more
doaj +2 more sources
Impact of MgO Additions on the Oxidation Resistance and Compression Behavior of Vanadium Alloys
An increase in oxidation resistance at 600 °C is achieved for alloys containing more than 2.5 wt.% MgO. It has been established that, along with V2O5, MgO6V2, and Mg2O7V2 are formed, which are presumed to enhance oxidative stability. Furthermore, the possible transformation of Mg‐vanadates through reaction with CO2, which presumably occurs in this ...
Ievgen Solodkyi +5 more
wiley +1 more source
1 bit Compressive Spectrum Sensing Algoritbm Based on Distributed Model
Since the actual sparsity of spectrum is unknown and time-varying, information transmit frequently between nodes in the distributed spectrum sensing network consumes communication bandwidth.
Zhijin Zhao, Weikang Hu, Junwei Hu
doaj +2 more sources
Schematic representation of modes of microcrack nucleation, growth and temporary arrestment at different boundaries, with the criteria for crack propagation in three scenarios: (1) large notch, (2) defect/small sharp notch, and (3) long crack. This work revisits and integrates results on the fatigue behavior of advanced bainitic steels (in particular ...
Lucia Morales‐Rivas
wiley +1 more source

