Results 71 to 80 of about 110,162 (274)
BCARS Simulated Phantom Dataset for Evaluation of Processing Pipelines
A tissue phantom, containing fingerprint Raman spectra at each pixel, is developed to evaluate Raman signal processing pipelines. The phantom is created from a BCARS image of a murine hepatic tissue. ABSTRACT Broadband coherent anti‐Stokes Raman scattering (BCARS) microscopy is a powerful label‐free biological imaging technique, but the raw signal ...
Jessica Z. Dixon +5 more
wiley +1 more source
Mimo Systems Low complexity SVD Implementation Analysis [PDF]
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
An SVD in Spherical Surface Wave Tomography
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
Determination of Broadening Functions using the Singular Value Decomposition (SVD) Technique [PDF]
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
Singular value decomposition of noisy data: noise filtering
The singular value decomposition (SVD) and proper orthogonal decomposition are widely used to decompose velocity field data into spatiotemporal modes.
Brenden P. Epps, E. Krivitzky
semanticscholar +1 more source
Frozen Differential Scattering in Reconfigurable Complex Media
A localized perturbation universally results in a rank‐one update of the scattering matrix of any complex medium. The resulting differential output wavefront is “frozen”: its spatial pattern is fixed (agnostic to the input wavefront). Experiments with a programmable‐metasurface‐parametrized wireless link validate frozen differential scattering and ...
Philipp del Hougne
wiley +1 more source
An Aggregative High-Order Singular Value Decomposition Method in Edge Computing
In edge computing, for dimensionality reduction and core data extraction, both edge computing node (ECN) and cloud server may implement a high-order singular value decomposition (HOSVD) algorithm before data are passed to local computing models. However,
Junhua Chen +3 more
doaj +1 more source
On the Mean‐Field Limit of Consensus‐Based Methods
ABSTRACT Consensus‐based optimization (CBO) employs a swarm of particles evolving as a system of stochastic differential equations (SDEs). Recently, it has been adapted to yield a derivative free sampling method referred to as consensus‐based sampling (CBS). In this paper, we investigate the “mean‐field limit” of a class of consensus methods, including
Marvin Koß, Simon Weissmann, Jakob Zech
wiley +1 more source
An Out of Memory tSVD for Big-Data Factorization
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
ABSTRACT Purpose To present a method for quantifying dissolved 129Xe spectroscopy using singular value decomposition (SVD) and a dynamic red blood cell (RBC)/membrane ratio as a biomarker of disease. Methods A spectroscopic sequence was performed in 45 subjects (27 healthy, 12 dyspnea of unknown origin [DUO], and 6 pulmonary hypertension [PH ...
Gabriela María García Delgado +8 more
wiley +1 more source

