Reducing the number of samples in spatiotemporal dMRI acquisition design
Sign Up to like & getrecommendations! Published in 2019 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.27601
Abstract: Acquisition time is a major limitation in recovering brain white matter microstructure with diffusion magnetic resonance imaging. The aim of this paper is to bridge the gap between growing demands on spatiotemporal resolution of diffusion… read more here.
Keywords: spatiotemporal dmri; samples spatiotemporal; number samples; reducing number ... See more keywords
Multivariate exponential analysis from the minimal number of samples
Sign Up to like & getrecommendations! Published in 2018 at "Advances in Computational Mathematics"
DOI: 10.1007/s10444-017-9570-8
Abstract: The problem of multivariate exponential analysis or sparse interpolation has received a lot of attention, especially with respect to the number of samples required to solve it unambiguously. In this paper we show how to… read more here.
Keywords: multivariate exponential; number; exponential analysis; number samples ... See more keywords
Universal Lower Bound for Finite-Sample Reconstruction Error and Its Relation to Prolate Spheroidal Functions
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2017.2769695
Abstract: We consider the problem of representing a finite-energy signal with a finite number of samples. When the signal is interpolated via sinc function from the samples, there will be a certain reconstruction error since only… read more here.
Keywords: error; bound; number samples; reconstruction error ... See more keywords
On the Minimum Number of Samples for Sparse Recovery in Spherical Antenna Near-Field Measurements
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Antennas and Propagation"
DOI: 10.1109/tap.2019.2935102
Abstract: A thorough picture is presented on the capability of compressed sensing to reduce the number of measurement samples that are required for a near-field to far-field transformation (NFFFT), based on the spherical vector wave expansion… read more here.
Keywords: field; number; near field; number samples ... See more keywords
Estimation of the hardness of the learning with errors problem with a restricted number of samples
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DOI: 10.1515/jmc-2017-0040
Abstract: Abstract The Learning With Errors (LWE) problem is one of the most important hardness assumptions lattice-based constructions base their security on. In 2015, Albrecht, Player and Scott presented the software tool LWE-Estimator to estimate the… read more here.
Keywords: restricted number; number; number samples; hardness ... See more keywords
Prediction of the nutritional value of grass species in the semiarid region by repeatability analysis
Sign Up to like & getrecommendations! Published in 2018 at "Pesquisa Agropecuaria Brasileira"
DOI: 10.1590/s0100-204x2018000300013
Abstract: The objective of this work was to estimate the repeatability (r) and the number of samples required to measure the nutritional value of four warm-season forage grasses growing in a semiarid region. The grasses evaluated… read more here.
Keywords: nutritional value; repeatability; analysis; semiarid region ... See more keywords