Results 241 to 250 of about 91,674 (276)

Comparison of Low-Rank Denoising Methods for Dynamic Deuterium MRSI at 7 T. [PDF]

NMR Biomed
Duguid A, Niess F, Bogner W, Hingerl L, Bader V, Frese S, Osburg A, Lanz B, Alves B, Cudalbu C, Robinson SD, Eckstein K, Strasser B.   +12 more
europepmc   +1 more source

Optical soliton solutions of the M-fractional paraxial wave equation. [PDF]

Sci Rep
Bashar MH, Mannaf MA, Rahman MM, Khatun MT.   +3 more
europepmc   +1 more source

Distance-amplified power-law distributions better characterize human long-distance travel. [PDF]

Sci Rep
Bankhamer G, Liu H, Park S, Elsässer R, Schmid S.   +4 more
europepmc   +1 more source

Regularization of electromagnetic scattering problems via the Abel integral transform. [PDF]

Philos Trans A Math Phys Eng Sci
Vinogradova E, Smith P.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Asymptotic behaviour of the singular values for the truncated Hilbert transform

2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC), 2013
We present new results on the singular value decomposition (SVD) of the truncated Hilbert transform (THT). The THT problem consists in recovering a function f(x) with support on an interval [a 2 , a 4 ] from the knowledge of its Hilbert transform over an interval [a 1 , a 3 ] which overlaps with the support of f, i.e. a 1 2 3 4 . This problem has
Al-Aifari, Reema, Defrise, Michel, Katsevich, Alexander   +2 more
openaire   +4 more sources

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
openaire   +1 more source

Singular value decomposition for the truncated Hilbert transform

Inverse Problems, 2010
Starting from a breakthrough result by Gelfand and Graev, inversion of the Hilbert transform became a very important tool for image reconstruction in tomography. In particular, their result is useful when the tomographic data are truncated and one deals with an interior problem.
openaire   +2 more sources

On Frequency Weighted Balanced Truncation: Hankel Singular Values and Error Bounds

European Journal of Control, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tony Van Gestel, Bart De Moor, Brian D. O. Anderson, Peter Van Overschee   +3 more
openaire   +2 more sources

Incremental algorithms for truncated higher-order singular value decompositions

BIT Numerical Mathematics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chao Zeng, Michael K nG, Tai-Xiang Jiang   +2 more
exaly   +2 more sources

Approximate convolution using partitioned truncated singular value decomposition filtering

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
In many signal processing applications it is necessary to perform large convolutions in real-time. For systems where an exact convolution is too complex we propose an approximation using a partitioned truncated singular value decomposition (PTSVD) filter.
Joshua Atkins, Adam Strauss, Chen Zhang
openaire   +1 more source