Results 121 to 130 of about 2,960,959 (361)
An efficient algorithm for compression-based compressed sensing [PDF]
arXiv, 2017 Modern image and video compression codes employ elaborate structures existing in such signals to encode them into few number of bits. Compressed sensing recovery algorithms on the other hand use such signals' structures to recover them from few linear observations.
arxiv
Smart Rubber Extrusion Line Combining Multiple Sensor Techniques for AI‐Based Process Control
Advanced Engineering Materials, EarlyView.This publication presents a digitalization approach for a laboratory rubber extrusion line, employing innovative measurement methods and artificial intelligence (AI)‐based process control. The results demonstrate that the measurement systems are capable of detecting changes in the process and extrudate quality.
Alexander Aschemann +18 more
wiley +1 more source
Deterministic Compressed Sensing Matrices from Additive Character Sequences [PDF]
arXiv, 2010 Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. In this correspondence, a $K \times N$ measurement matrix for compressed sensing is deterministically constructed via additive character sequences. The Weil bound is then used to show that the matrix has asymptotically optimal coherence for $
arxiv
Advanced 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
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
Parallel Encryption of Noisy Images Based on Sequence Generator and Chaotic Measurement Matrix
Complexity, 2020 With the rapid development of information technology in today’s society, the security of transmission and the storage capacity of hardware are increasingly required in the process of image transmission.
Jiayin Yu +4 more
doaj +1 more source
Using Correlated Subset Structure for Compressive Sensing Recovery [PDF]
arXiv, 2013 Compressive sensing is a methodology for the reconstruction of sparse or compressible signals using far fewer samples than required by the Nyquist criterion. However, many of the results in compressive sensing concern random sampling matrices such as Gaussian and Bernoulli matrices.
arxiv
American Journal of Neuroradiology, 2018 Twenty-three patients with relapsing-remitting MS underwent both conventional 3D-FLAIR and compressed sensing 3D-FLAIR on a 3T scanner (reduction in scan time 1 minute 25 seconds, 27%; compressed sensing factor of 1.3).
S. Toledano-Massiah +8 more
semanticscholar +1 more source
From Damage to Functionality: Remanufacturing of Thrust Roller Bearings by Tailored Forming
Advanced Engineering Materials, EarlyView.Herein, the wear and fatigue behavior of repaired bearing raceways with a new powder alloy is investigated using a FE8 test‐rig and an oscillating tribometer. The tests are compared with industrial manufactured bearings to evaluate the repair quality. The repair can extend the service life of the repaired bearing to that of a new bearing and improves ...
Felix Saure +3 more
wiley +1 more source
A Novel Decentralized Scheme for Cooperative Compressed Spectrum Sensing in Distributed Networks
International 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