Results 51 to 60 of about 263 (132)

Scalable deep learning reconstruction for accelerated multidimensional nuclear magnetic resonance spectroscopy of proteins. [PDF]

Sci Adv
Huang Y, Gao Y, Tu Z, Agback T, Orekhov V, Hyberts SG, Wagner G, Lin Y, Chen Z, Guo D, Qu X.   +10 more
europepmc   +1 more source

Dynamic mode decomposition for analysis and prediction of metabolic oscillations from time-lapse imaging of cellular autofluorescence. [PDF]

Sci Rep
Wüstner D, Gundestrup HH, Thaysen K.
europepmc   +1 more source

Magnetic neutron scattering from spherical nanoparticles with Néel surface anisotropy: analytical treatment. [PDF]

J Appl Crystallogr, 2022
Adams MP, Michels A, Kachkachi H.
europepmc   +1 more source

An Algebraic Approach to Hankel Norm Approximation Problems

, 1992
The polynomial approach introduced in Fuhrmann [1991] is extended to cover the crucial area of AAK theory, namely the characterization of zero location of the Schmidt vectors of the Hankel operators. This is done using the duality theory developed in that paper but with a twist.
openaire   +1 more source

A workflow for single-particle structure determination via iterative phasing of rotational invariants in fluctuation X-ray scattering. [PDF]

J Appl Crystallogr
Berberich TB, Molodtsov SL, Kurta RP.
europepmc   +1 more source

Free boundary methods and non-scattering phenomena. [PDF]

Res Math Sci, 2021
Salo M, Shahgholian H.
europepmc   +1 more source

Reducing the Effects of Motion Artifacts in fMRI: A Structured Matrix Completion Approach. [PDF]

IEEE Trans Med Imaging, 2022
Balachandrasekaran A, Cohen AL, Afacan O, Warfield SK, Gholipour A.   +4 more
europepmc   +1 more source

Kernel-DMD for multiome data integration and control. [PDF]

PLoS Comput Biol
Pierides I, Kramml HM, Waldherr S, Weckwerth W.   +3 more
europepmc   +1 more source

Sound Field Reconstruction Using Prolate Spheroidal Wave Functions and Sparse Regularization. [PDF]

Sensors (Basel), 2023
Zhang X, Lou J, Zhu S, Lu J, Li R.
europepmc   +1 more source

Sub-optimal Hankel norm approximation for the Wiener class

, 2002
For the Wiener class of matrix-valued functions we obtain a simple frequency domain solution for the sub-optimal Hankel norm approximation problem. The approach is via J-spectral factorization.
Iftime, O.V., Sasane, A.J.
openaire   +1 more source