Results 11 to 20 of about 4,249 (49)

Introducing carsharing schemes in low‐density areas: The case of the outskirts of Le Mans (France)

Regional Science Policy &Practice, Volume 15, Issue 2, Page 239-255, April 2023., 2023
Abstract Nowadays, the issue of rural development has a central place on the agenda of policymakers, particularly in the field of transportation. In low‐density areas, there is a lack of alternatives to car use, but at the same time internal combustion vehicles are currently contested in Western societies for their impacts on global warming. As part of
Jean Leroy, Guillaume Bailly, Gérald Billard   +2 more
wiley   +1 more source

Calcium Hydroxide Nanoparticles and Hypogeum Environment: Test to Understand the Best Way of Application

Journal of Nanomaterials, Volume 2014, Issue 1, 2014., 2014
For a long time the conservation of archaeological artefacts has been based on the principles of compatibility and minimal intervention. This involves a series of partially unsolved problems, concerning the products used for deteriorated structures consolidation.
Andrea Macchia, Ottavia Bettucci, Elisa Gravagna, Daniela Ferro, Romana Albini, Barbara Mazzei, Luigi Campanella, Alan K. T. Lau   +7 more
wiley   +1 more source

Compressed Sensing of Approximately-Sparse Signals: Phase Transitions and Optimal Reconstruction

, 2012
Compressed sensing is designed to measure sparse signals directly in a compressed form. However, most signals of interest are only "approximately sparse", i.e. even though the signal contains only a small fraction of relevant (large) components the other
Barbier, Jean, Krzakala, Florent, Mézard, Marc, Zdeborová, Lenka   +3 more
core   +2 more sources

Compressed Sensing Performance Analysis via Replica Method using Bayesian framework [PDF]

, 2014
Compressive sensing (CS) is a new methodology to capture signals at lower rate than the Nyquist sampling rate when the signals are sparse or sparse in some domain.
Barzideh, Faraz, Godana, Bruhtesfa E., Tesfamicael, Solomon A.   +2 more
core  

The Third-Order Term in the Normal Approximation for the AWGN Channel

, 2013
This paper shows that, under the average error probability formalism, the third-order term in the normal approximation for the additive white Gaussian noise channel with a maximal or equal power constraint is at least $\frac{1}{2} \log n + O(1)$.
Tan, Vincent Y. F., Tomamichel, Marco
core   +1 more source

Distributed Compressed Sensing off the Grid

, 2014
This letter investigates the joint recovery of a frequency-sparse signal ensemble sharing a common frequency-sparse component from the collection of their compressed measurements.
Jiang, Sumxin, Liu, Peilin, Lu, Zhenqi, Ying, Rendong, Yu, Wenxian   +4 more
core   +1 more source

Euclidean and Hermitian LCD MDS codes

, 2017
Linear codes with complementary duals (abbreviated LCD) are linear codes whose intersection with their dual is trivial. When they are binary, they play an important role in armoring implementations against side-channel attacks and fault injection attacks.
Carlet, Claude, Mesnager, Sihem, Qi, Yanfeng, Tang, Chunming   +3 more
core   +2 more sources

Pl\"ucker Embedding of Cyclic Orbit Codes [PDF]

, 2012
Cyclic orbit codes are a family of constant dimension codes used for random network coding. We investigate the Pl\"ucker embedding of these codes and show how to efficiently compute the Grassmann coordinates of the code words.Comment: to appear in ...
Trautmann, Anna-Lena
core  

"Compressed" Compressed Sensing

, 2010
The field of compressed sensing has shown that a sparse but otherwise arbitrary vector can be recovered exactly from a small number of randomly constructed linear projections (or samples).
Gastpar, Michael, Reeves, Galen
core  

Hub structure in functional network of EEG signals supporting high cognitive functions in older individuals. [PDF]

Front Aging Neurosci, 2023
Tobe M, Nobukawa S, Mizukami K, Kawaguchi M, Higashima M, Tanaka Y, Yamanishi T, Takahashi T.   +7 more
europepmc   +1 more source