Results 151 to 160 of about 24,593 (203)

Differential Spectrum-Based Adaptive Regularization for NMR <i>T</i> ₂ Inversion in Noisy Data. [PDF]

ACS Omega
Cheng Y, Feng C, Zhang H, Liu T, Sun T.
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Compressed sensing-based image reconstruction for discrete tomography with sparse view and limited angle geometries. [PDF]

PLoS One
Ali HA, Rashed EA, Kudo H.
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Seismic traveltime inversion with quantum annealing. [PDF]

Sci Rep
Nguyen HA, Tura A.
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Optimized shaped pulses for a 2D single-frequency technique for refocusing (SIFTER). [PDF]

Magn Reson (Gott)
Trenkler PAS, Endeward B, Sigurdsson ST, Prisner TF.   +3 more
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Uncertainty-aware traction force microscopy. [PDF]

PLoS Comput Biol
Kandasamy A, Yeh YT, Serrano R, Mercola M, Del Alamo JC.   +4 more
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Bayesian Probabilistic Inference of Nonparametric Distance Distributions in DEER Spectroscopy. [PDF]

J Phys Chem A
Sweger SR, Cheung JC, Zha L, Pribitzer S, Stoll S.   +4 more
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Application of Bivariate Reproducing Kernel-Based Best Interpolation Method in Electrical Tomography. [PDF]

Sensors (Basel)
Tan Y, Wang J, Yu J, Wu B, Shen J, Guo X.   +5 more
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Automatic Evaluation Algorithms for Radio Tomography Imaging Methods. [PDF]

Sensors (Basel)
Strzecha K, Rybak G.
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Tikhonov Regularization and Randomized GSVD

SIAM Journal on Matrix Analysis and Applications, 2016
Summary: The generalized singular value decomposition (GSVD) is one of the essential tools in numerical linear algebra. This paper proposes a regularization method, combining Tikhonov regularization in general form with the truncated GSVD. Then the randomized algorithms are adopted to implement the truncation process.
Wei, Yimin, Xie, Pengpeng, Zhang, Liping
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Augmented Tikhonov regularization

Inverse Problems, 2008
This paper proposes a regularizing functional of Tikhonov type that determines the regularization parameter and the noise level along with the solutions for linear inverse problems in the Bayesian framework. The existence of minimizers to the functional is shown, and properties of the minimizers are studied.
Bangti Jin, Jun Zou
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