Results 31 to 40 of about 62,622 (323)

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
doaj   +1 more source

SVD Aided Joint Transmitter and Receiver Design for the Uplink of Multiuser Detection Assisted MIMO Systems,

, 2008
A novel singular value decomposition (SVD) aided uplink (UL) multiuser MIMO system is proposed. In contrast to the traditional minimum mean square error (MMSE) or zeroforcing (ZF) multiuser detection (MUD) technique, the proposed method exploits the ...
W. Liu, Yang, Lie-Liang, L.-L. Yang, Liu, W., L. Hanzo, Hanzo, Lajos   +5 more
core   +1 more source

Enhancing artificial neural network learning efficiency through Singular value decomposition for solving partial differential equations

Results in Applied Mathematics
Partial 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, Maharani A. Bakar, Nur Fadhilah Ibrahim, Hanani Farhah Harun   +3 more
doaj   +1 more source

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, M. Azadbakht, C. S. Fraser, C. S. Fraser, C. Zhang, C. Zhang, J. Leach   +6 more
doaj   +1 more source

DEEP NEURAL NETWORK-BASED APPROACH FOR COMPUTING SINGULAR VALUES OF MATRICES

Science Journal of University of Zakho
Matrix 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
doaj   +1 more source

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, Gang Cheng, Xihui Chen, Yusong Pang   +3 more
doaj   +1 more source

SVD-phy: improved prediction of protein functional associations through singular value decomposition of phylogenetic profiles

Bioinform., 2015
Summary: A successful approach for predicting functional associations between non-homologous genes is to compare their phylogenetic distributions.
Andrea Franceschini, Jianyi Lin, C. V. Mering, L. Jensen   +3 more
semanticscholar   +1 more source

Generalized tensor function via the tensor singular value decomposition based on the T-product [PDF]

Linear Algebra and its Applications, 2019
In this paper, we present the definition of generalized tensor function according to the tensor singular value decomposition (T-SVD) via the tensor T-product.
Yun Miao, L. Qi, Yimin Wei
semanticscholar   +1 more source

Anisotropic NMR as a Crucial Tool for Differentiation of Epimers With High Conformational Flexibility

Angewandte Chemie, EarlyView.
Epimer discrimination remains challenging due to subtle NMR differences. Here, we propose a methodology based on 13C‐RCSA and RDC anisotropic parameters, enabling the assignment of two flexible tetraprenyltoluquinol epimers (1a and 1b) with remote stereoclusters.
Juan Carlos C. Fuentes‐Monteverde, Abel M. Forero, Nilamoni Nath, Antonio Hernández Daranas, Carlos Jiménez, Jaime Rodríguez, Christian Griesinger   +6 more
wiley   +2 more sources

On the singular value decomposition of (skew-)involutory and (skew-)coninvolutory matrices

Special Matrices, 2020
The singular values σ > 1 of an n × n involutory matrix A appear in pairs (σ, 1σ{1 \over \sigma }). Their left and right singular vectors are closely connected. The case of singular values σ = 1 is discussed in detail. These singular values may appear in
Faßbender Heike, Halwaß Martin
doaj   +1 more source