Results 61 to 70 of about 71,463 (232)
An SVD in Spherical Surface Wave Tomography
, 2017 In spherical surface wave tomography, one measures the integrals of a function defined on the sphere along great circle arcs. This forms a generalization of the Funk--Radon transform, which assigns to a function its integrals along full great circles. We
Hielscher, Ralf +2 more
core +1 more source
Ground‐ and Excited‐State Mixed Valency in a 4,4′‐Bipyridine‐Bridged Bimetallic Di‐Ruthenium Complex
European Journal of Inorganic Chemistry, EarlyView.Photoinduced mixed‐valence interactions across a 4,4′‐bpy bridge were studied. MLCT excited states in the bimetallic complex are longer‐lived than in the monometallic reference, thanks to metal–metal electronic coupling and hole delocalization, but are still shorter than the nanosecond timescale relevant for diffusional reactivity.
Ivana Ramírez‐Wierzbicki +3 more
wiley +1 more source
Implementasi Watermarking pada Citra Digital dengan Metode Singular Value Decomposition (svd)
JEJARING : Jurnal Teknologi dan Manajemen Informatika, 2021 Today computers have been used in all aspects of life as a means of processing digital data. The Development of computer makes digital files mostly used because the computer is an electronic equipment used to process digital file. Moreover with network technology developments internet it enables file exchange and process the file.This ease impacts to ...
Aah Sumiah, Yan Alfian
openaire +1 more source
Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver
International Journal for Numerical Methods in Fluids, EarlyView.A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley +1 more source
An Out of Memory tSVD for Big-Data Factorization
IEEE Access, 2020 Singular value decomposition (SVD) is a matrix factorization method widely used for dimension reduction, data analytics, information retrieval, and unsupervised learning.
Hector Carrillo-Cabada +4 more
doaj +1 more source
Determination of Broadening Functions using the Singular Value Decomposition (SVD) Technique [PDF]
International Astronomical Union Colloquium, 1999 AbstractThe cross-correlation function (CCF) has become the standard tool for extraction of radial-velocity and broadening information from high resolution spectra. It permits integration of information which is common to many spectral lines into one function which is easy to calculate, visualize and interpret. However, the CCF is not the best tool for
openaire +2 more sources
A MR Fingerprinting Development Kit for Quantitative 3D Brain Imaging
Journal of Magnetic Resonance Imaging, EarlyView.ABSTRACT Background Magnetic resonance fingerprinting (MRF) is an emerging quantitative imaging technique that enables multiparametric tissue characterization, but its adoption has been hindered by the complexity of data acquisition and post‐processing. These technical and implementation challenges have limited its broader clinical deployment.
Rasim Boyacioglu +11 more
wiley +1 more source
Mimo Systems Low complexity SVD Implementation Analysis [PDF]
, 2008 This paper analyses the implementation of the singular value decomposition (SVD) using approximation to the exact computation for MIMO systems in the case of modulation-mode and power assignment set-up. The study developed in the paper focuses on the use
Arriero Encinas, Luis +4 more
core
Journal of Magnetic Resonance Imaging, EarlyView.ABSTRACT Background The demand for cardiac MRI is increasing with the growing burden of cardiovascular disease. However, conventional protocols require sequential acquisitions for multi‐breath‐hold 2D cine and 3D MR angiography (MRA), which is time‐consuming.
Ruixin Chen +7 more
wiley +1 more source
A blind watermarkingalgorithm based on DWT and SVD
Journal of Measurement Science and Instrumentation, 2014 This paper presents a new digital image blind watermarking algorithm based on combination of discrete wavelet transform（DWT）and singular value decomposition（SVD）.First of all,we make wavelet decomposition for the original image and divide the acquired ...
XUAN Chun-qing +3 more
doaj