Results 31 to 40 of about 71,044 (233)
Results in Applied MathematicsPartial differential equations (PDEs) hold significant potential for modelling natural phenomena. It is essential to look at a practical way to solve the PDEs.
Alfi Bella Kurniati +3 more
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Singular Value Decomposition Approaches in A Correspondence Analysis with The Use of R
Folia Oeconomica Stetinensia, 2018 The aim of a correspondence analysis is the graphical representation of the categories of variables in one frame of reference. This visualization is possible due to the decomposition of the basic matrix with the use of Singular Value Decomposition (SVD).
Brzezińska Justyna
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Blockwise SVD with error in the operator and application to blind deconvolution [PDF]
, 2012 We consider linear inverse problems in a nonparametric statistical framework. Both the signal and the operator are unknown and subject to error measurements.
Delattre, S. +3 more
core +3 more sources
, 2006 We present a practical and efficient means to compute the singular value decomposition (svd) of a quaternion matrix A based on bidiagonalization of A to a real bidiagonal matrix B using quaternionic Householder transformations.
Anderson +12 more
core +3 more sources
DEEP NEURAL NETWORK-BASED APPROACH FOR COMPUTING SINGULAR VALUES OF MATRICES
Science Journal of University of ZakhoMatrix factorization techniques, such as Singular Value Decomposition (SVD), Eigenvalue Decomposition (EVD), and QR decomposition, have long been pivotal in computational mathematics, particularly for applications in signal processing, machine learning,
Diyari A. Hassan
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A signal denoising method for full-waveform LiDAR data [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 The lack of noise reduction methods resistant to waveform distortion can hamper correct and accurate decomposition in the processing of full-waveform LiDAR data.
M. Azadbakht +6 more
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Planetary Gears Feature Extraction and Fault Diagnosis Method Based on VMD and CNN
Sensors, 2018 Given local weak feature information, a novel feature extraction and fault diagnosis method for planetary gears based on variational mode decomposition (VMD), singular value decomposition (SVD), and convolutional neural network (CNN) is proposed. VMD was
Chang Liu +3 more
doaj +1 more source
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source