Results 91 to 100 of about 194,746 (328)

HDIHT: A High-Accuracy Distributed Iterative Hard Thresholding Algorithm for Compressed Sensing

open access: yesIEEE Access, 2020
Iterative hard thresholding (IHT) is a beneficial tool for the recovery of sparse vectors in compressed sensing. In this study, we propose a high-accuracy distributed iterative hard thresholding algorithm (HDIHT) with explicit consideration given to the ...
Xiaming Chen, Zhuang Qi, Jianlong Xu
doaj   +1 more source

Development of Ternary Magnesium Alloys for Laser Powder Bed Fusion: Optimizing Oxide Layer Thickness

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing of magnesium alloys by laser is difficult because the melting point of the oxide layer is much higher than the evaporation temperature of the metal underneath. Making the oxide layer thinner can solve this problem. Alloying magnesium with strontium makes the oxide layer thinner, especially at 0.5 wt%.
Elmar Jonas Breitbach   +8 more
wiley   +1 more source

Non‐Destructive and Mechanical Characterization of the Bond Quality of Co‐Extruded Titanium‐Aluminum Profiles

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates the bond quality of co‐extruded aluminum–titanium hybrid profiles, focusing on the lateral angular co‐extrusion (LACE) process. It examines how heat treatments (HT) affect intermetallic phase formation, bond strength, and material properties.
Norman Mohnfeld   +9 more
wiley   +1 more source

The dynamics of message passing on dense graphs, with applications to compressed sensing

open access: yes, 2011
Approximate message passing algorithms proved to be extremely effective in reconstructing sparse signals from a small number of incoherent linear measurements.
Bayati, Mohsen, Montanari, Andrea
core   +1 more source

Distributed Compressed Sensing of Jointly Sparse Signals [PDF]

open access: yesConference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005., 2006
Compressed sensing is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for recon- struction. In this paper we expand our theory for distributed compressed sensing (DCS) that enables new distributed cod- ing algorithms for multi-signal ensembles that exploit both intra-
Marco F. Duarte   +4 more
openaire   +2 more sources

Analysis of Temperature and Stress Distribution on the Bond Properties of Hybrid Tailored Formed Components

open access: yesAdvanced Engineering Materials, EarlyView.
Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek   +7 more
wiley   +1 more source

A Perspective on Powder Metallurgy and Additive Manufacturing of High‐Nitrogen Alloyed Stainless Steels

open access: yesAdvanced Engineering Materials, EarlyView.
This perspective article explores an innovative powder metallurgical approach to producing high‐nitrogen steels by utilizing a mixture of stainless steel and Si3N4. This mixture undergoes hot isostatic pressing followed by direct quenching. The article also examines adapting this method to laser powder bed fusion (PBF‐LB/M) to overcome nitrogen ...
Louis Becker   +5 more
wiley   +1 more source

Reconstruction algorithm based on multi-reference frames hypothesis optimization for compressive sensing

open access: yesTongxin xuebao, 2017
In multi-hypothesis based distributed compressed video sensing systems,the quality of the multi-hypothesis set has important influence on the reconstruction performance of decoder.However,the acquiring of the hypothesis set has not been concerned in ...
Yong-hong KUO, Ru-quan WANG, Jian CHEN
doaj   +2 more sources

A Novel Decentralized Scheme for Cooperative Compressed Spectrum Sensing in Distributed Networks

open access: yesInternational Journal of Distributed Sensor Networks, 2015
Compressed sensing (CS) recently turns out to be an effective approach to alleviate the sampling bottleneck in wideband spectrum sensing. However, the computation overhead incurred by compressed reconstruction is nontrivial, especially in a power ...
Huang Jijun, Zha Song
doaj   +1 more source

Distributed Compressed Sensing of Sensor Data

open access: yes, 2010
Intelligent Information processing in distributed wireless sensor networks has many different optimizations by which redundancies in data can be eliminated, and at the same time the original source signal can be retrieved without loss. The data-centric nature of sensor network is modeled, which allows environmental applications to measure correlated ...
Vasanth Iyer, Dhananjay Singh
openaire   +3 more sources

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