Results 231 to 240 of about 91,180 (283)

Gene regulatory network structure informs the distribution of perturbation effects. [PDF]

PLoS Comput Biol
Aguirre M, Spence JP, Sella G, Pritchard JK.   +3 more
europepmc   +1 more source

Optimization hardness constrains ecological transients. [PDF]

PLoS Comput Biol
Gilpin W.
europepmc   +1 more source

A numerical approach to fractional Volterra-Fredholm integro-differential problems using shifted Chebyshev spectral collocation. [PDF]

Sci Rep
Hamood MM, Sharif AA, Ghadle KP.
europepmc   +1 more source

Influence of Basis Set Composition on Metabolite Quantification of ¹H-MRS at 3 T: Combining In Silico, In Vivo and In Vitro Evidence. [PDF]

NMR Biomed
Emeliyanova P, Parkes LM, Lea-Carnall C, Williams SR.   +3 more
europepmc   +1 more source

A hybrid denoising method for low-field nuclear magnetic resonance data. [PDF]

Magn Reson Lett
Zhao Y, Xie R, Huang K, Su H, Guo J.
europepmc   +1 more source

Bifurcation analysis and dynamical behavior of novel optical soliton solution of chiral (2 + 1) dimensional nonlinear Schrodinger equation in telecommunication system. [PDF]

Sci Rep
Saber H, Roshid MM, Bouye M, Muhyi A, Moumen A, Aldwoah K.   +5 more
europepmc   +1 more source

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ECG data compression using truncated singular value decomposition

IEEE Transactions on Information Technology in Biomedicine, 2001
The method of truncated singular value decomposition (SVD) is proposed for electrocardiogram (ECG) data compression. The signal decomposition capability of SVD is exploited to extract the significant feature components of the ECG by decomposing the ECG into a set of basic patterns with associated scaling factors.
J J, Wei, C J, Chang, N K, Chou, G J, Jan   +3 more
openaire   +2 more sources

Modified truncated singular value decomposition method for moving force identification

Advances in Structural Engineering, 2022
In this study, a modified truncated singular value decomposition (MTSVD) method is proposed for the identification of dynamic moving forces on simply-supported beams. By regularizing the truncated singular value decomposition (TSVD) method, the MTSVD method focuses on overcoming the ill-posed problems that intrinsically exist in moving force ...
Zhen Chen, Lu Deng, Xuan Kong
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Accelerating truncated singular-value decomposition

2018
<p>Principal component analysis (PCA) is one of the most popular statistical procedures for dimension reduction. A modification of PCA, called robust principal component analysis (RPCA), has been studied to overcome the well-known shortness of PCA: sensitivity to outliers and corrupted data points.
HanQin Cai, Tong Li, Yangbo Ye, Jianfeng Cai, Weiyu Xu, Palle E. T. Jorgensen   +5 more
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Stacking Using Truncated Singular Value Decomposition and Local Similarity

78th EAGE Conference and Exhibition 2016, 2016
The similarity-weighted stacking takes use of the local similarity between each trace and a reference as the weight to stack the NMO-corrected prestack seismic data. The selection of reference trace plays a significant role in the final performance.
J.Y Xie, B.R Di, J.X Wei, Q. Xie, S.H Zu, Y.K Chen   +5 more
openaire   +1 more source