The reweighted Landweber scheme for the extrapolation of band-limited signals

M Chen, G Qu, L Shi, S Gao - Signal Processing, 2019 - Elsevier
… subspaces using the modified Gram–Schmidt procedure. The extrapolation of discrete band-…
entire real line and band-limited extrapolation. A novel signal reconstruction method based …

[HTML][HTML] 3-D data interpolation and denoising by an adaptive weighting rank-reduction method using multichannel singular spectrum analysis algorithm

F Bayati, D Trad - Sensors, 2023 - mdpi.com
… In all tested data, it is possible to see the first cutoff with a distinct change in the energy …
weighting operator. We can see that the singular spectrum of the data after applying the weighting

[HTML][HTML] Revisiting the T2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares

EJ Canales-Rodríguez, M Pizzolato, T Yu, GF Piredda… - Neuroimage, 2021 - Elsevier
… The relative MWF change (estimated as the difference between the MWFs for the longest
and shortest cutoffs, 42.5 ms and 37.5 ms, divided by the MWF from the standard cutoff, 40 ms) …

Spectral gaps extrapolation for stepped-frequency SAR via generative adversarial networks

L Nguyen, DN Tran, TD Tran - 2019 IEEE Radar Conference …, 2019 - ieeexplore.ieee.org
spectral estimation techniques suggest an adaptive approach [12], [13] based on iterative
weighted … This subtle modification allows our network to learn a mapping from a corrupted …

Recovering spectral reflectance based on natural neighbor interpolation with model‐based metameric spectra of extreme points

TR Chou, CH Hsieh, E Chen - Color Research & Application, 2019 - Wiley Online Library
… the extrapolation or any other auxiliary techniques. The quasi-Newton method was used to
estimate iteratively … The quasi-Newton optimization method is an alternative modification of …

Dual extrapolation for sparse glms

M Massias, S Vaiter, A Gramfort, J Salmon - Journal of Machine Learning …, 2020 - jmlr.org
… All of these estimators fall under the framework of Generalized Linear Mod- … For these
results, which connect sparse GLMs to VAR sequences and extrapolation, we need to make the …

Spectral reflectance recovery of various materials based on linear interpolation with nonparametric metameric spectra of extreme points

E Chen, TR Chou - Proceedings of the 3rd International Conference on …, 2019 - dl.acm.org
… by spectrum analysis, and judging the material spectral … to use the prediction of an extrapolation
method, leading to a large … We also change the environment to illuminant A and TL84, to …

An efficient nonmonotone projected Barzilai–Borwein method for nonnegative matrix factorization with extrapolation

J Li, W Li, X Liu - International Journal of Computer Mathematics, 2021 - Taylor & Francis
… Now we explain the reason for using the extrapolation technique and the modified
nonmonotone line search. Many papers in the literature [Citation4,Citation21,Citation22,Citation25] …

Hyperspectral super-resolution via global–local low-rank matrix estimation

R Wu, WK Ma, X Fu, Q Li - IEEE Transactions on Geoscience …, 2020 - ieeexplore.ieee.org
… the relative change of the objective function is below 10 −5 or when the number of iterations
… removes the extrapolation by setting αk = 0 in the inexact MM iteration (24). The previously …

Sparse Bayesian learning based channel extrapolation for RIS assisted MIMO-OFDM

X Xu, S Zhang, F Gao, J Wang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… Compared to the case in traditional communications, the channel estimation in the RIS-assisted
networks faces many challenges. Firstly, the RIS nodes change the network topology. …