Results 21 to 30 of about 6,413,007 (222)
Block Orthonormal Overcomplete Dictionary Learning [PDF]
, 2013 In the field of sparse representations, the overcomplete dictionary learning problem is of crucial importance and has a growing application pool where it is used.
Dumitrescu, Bogdan, Rusu, Cristian
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Harmonic detection algorithm based on improved SVD and Prony
Dianzi Jishu Yingyong, 2019 An improved algorithm based on singular value decomposition(SVD) and Prony is proposed to solve the problem that the traditional Prony algorithm is not very accurate because it is sensitive to noise during harmonic and inter-harmonic detection.
Ying Jun, Zhu Yunpeng, He Chao
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The General Linear Model and the Generalized Singular Value Decomposition; Some Examples [PDF]
, 2009 The general linear model with correlated error variables can be transformed by means of the generalized singular value decomposition to a very simple model (canonical form) where the least squares solution is obvious.
Knüsel, Leo
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Toward efficacy of piecewise polynomial truncated singular value decomposition algorithm in moving force identification [PDF]
, 2019 This paper introduces and evaluates the piecewise polynomial truncated singular value decomposition (PP-TSVD) algorithm toward an effective use for moving force identification (MFI).
Zhao, Shunbo +4 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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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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Angewandte Chemie, EarlyView.Time‐resolved in situ x‐ray absorption spectroscopy and DFTB‐based molecular dynamics simulations identify direct hydrogen atom transfer from ethanol to lattice oxygen as the elementary step of laser‐driven reduction in NiCo2O4. While this transfer is facile, the subsequent release of lattice oxygen is entropy‐driven and becomes accessible only at ...
Woo Hyeok Kim +12 more
wiley +2 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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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
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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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