Results 61 to 70 of about 45,005 (294)
Compressed Passive Macromodeling [PDF]
, 2012 This paper presents an approach for the extraction of passive macromodels of large-scale interconnects from their frequency-domain scattering responses. Here, large scale is intended both in terms of number of electrical ports and required dynamic model ...
Grivet-Talocia, S. +1 more
core +1 more source
Sensors, 2023 Addressing insufficient and irregular sampling is a difficult challenge in seismic processing and imaging. Recently, rank reduction methods have become popular in seismic processing algorithms for simultaneous denoising and interpolating.
Farzaneh Bayati, Daniel Trad
doaj +1 more source
Very Large-Scale Singular Value Decomposition Using Tensor Train Networks [PDF]
, 2014 We propose new algorithms for singular value decomposition (SVD) of very large-scale matrices based on a low-rank tensor approximation technique called the tensor train (TT) format. The proposed algorithms can compute several dominant singular values and
Cichocki, Andrzej, Lee, Namgil
core +1 more source
Image Denoising Using Hybrid Singular Value Thresholding Operators
IEEE Access, 2020 Truncated singular value decomposition (TSVD) is a simple and efficient technique for patch-based image denoising, in which a hard thresholding operator is utilized to set some small singular values to zero.
Fan Zhang +3 more
doaj +1 more source
Journal of Imaging, 2021 This paper is concerned with the reconstruction of relaxation time distributions in Nuclear Magnetic Resonance (NMR) relaxometry. This is a large-scale and ill-posed inverse problem with many potential applications in biology, medicine, chemistry, and ...
Germana Landi +2 more
doaj +1 more source
Some matrix nearness problems suggested by Tikhonov regularization
, 2016 The numerical solution of linear discrete ill-posed problems typically requires regularization, i.e., replacement of the available ill-conditioned problem by a nearby better conditioned one.
Noschese, Silvia, Reichel, Lothar
core +1 more source
Spectral analysis of the truncated Hilbert transform with overlap [PDF]
, 2013 We study a restriction of the Hilbert transform as an operator $H_T$ from $L^2(a_2,a_4)$ to $L^2(a_1,a_3)$ for real numbers $a_1 < a_2 < a_3 < a_4$. The operator $H_T$ arises in tomographic reconstruction from limited data, more precisely in the method ...
Al-Aifari, Reema, Katsevich, Alexander
core +3 more sources
AIP Advances, 2022 In this paper, we first study the applicability and stability of the Tikhonov regularization method (TRM) and the truncated singular value decomposition method in ship’s magnetic signature inversion modeling.
Baowei He, Shengdao Liu, Jingwen Zong
doaj +1 more source
Pure and Applied Geophysics, 2021 Receiver function analysis is perhaps the most popular tool amongst seismologists for estimating the receiver-side crustal structure using three-component recordings of teleseismic P-wave coda. Several methods have been suggested for successful construction of receiver function time series, and almost all of them involve deconvolution, the inverse of ...
openaire +2 more sources
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source