[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 …
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
… 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) …
and shortest cutoffs, 42.5 ms and 37.5 ms, divided by the MWF from the standard cutoff, 40 ms) …
Extrapolation with Range Determination of 2D Spectral Transposed Convolutional Neural Network for Advanced Packaging Problems
… extrapolation, we construct new kernel combinations and use maximum likelihood estimation
(… Our proposed modified 2-D transposed convolutional NN consists of three stages, namely …
(… Our proposed modified 2-D transposed convolutional NN consists of three stages, namely …
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] …
nonmonotone line search. Many papers in the literature [Citation4,Citation21,Citation22,Citation25] …
Sparse Bayesian learning based channel extrapolation for RIS assisted MIMO-OFDM
… 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. …
networks faces many challenges. Firstly, the RIS nodes change the network topology. …
Shape-constrained symbolic regression—improving extrapolation with prior knowledge
… In the second experiment, we test the performance of the two modified algorithms. This will
verify … We perform the same analysis for the two groups of instances with and without noise …
verify … We perform the same analysis for the two groups of instances with and without noise …
A novel extrapolation technique to accelerate WMMSE
… To extend the extrapolation technique to the PAPC case, we change the Euclidean
projection projPsum (·) to projPpapc (·), which has a simple closed-form solution: ∀m ∈ [M], …
projection projPsum (·) to projPpapc (·), which has a simple closed-form solution: ∀m ∈ [M], …
Range resolution enhancement of WISDOM/ExoMars radar soundings by the Bandwidth Extrapolation technique: Validation and application to field campaign …
N Oudart, V Ciarletti, A Le Gall… - Planetary and Space …, 2021 - Elsevier
… implement the Bandwidth Extrapolation technique to extrapolate WISDOM spectra to additional
… With this modified processing pipeline, we expect to improve the resolution of WISDOM …
… With this modified processing pipeline, we expect to improve the resolution of WISDOM …
Improved atmospheric weighted mean temperature modeling using sparse kernel learning
… the hydrological cycle and climate change. The Global … extrapolation) problem. In this study,
the temporal variation characteristics of Tm time series are analyzed by the spectral analysis …
the temporal variation characteristics of Tm time series are analyzed by the spectral analysis …
A new atomic norm for DOA estimation with gain-phase errors
… iterative reweighted method [22] estimates the off-grid and sparse signals jointly. In [23], the
line spectral estimation … 0.15, we change σP from 0 to 20 in degree, and the DOA estimation …
line spectral estimation … 0.15, we change σP from 0 to 20 in degree, and the DOA estimation …