Tensor Based Semi-Blind Channel Estimation for Reconfigurable Intelligent Surface-Aided Multiple-Input Multiple-Output Communication Systems. [PDF]
Li N +6 more
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A Convolutional-Transformer Residual Network for Channel Estimation in Intelligent Reflective Surface Aided MIMO Systems. [PDF]
Wu Q, Bao J, Xu H, Ng BK, Lam CT, Im SK.
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Abrupt shifts in the concentration, composition, and reactivity of dissolved organic carbon from terrestrial to aquatic compartments across boreal watersheds. [PDF]
Baradaran SC +2 more
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Three-dimensional spectrochromatographic determination of chlorogenic acid in Melampyrum stenophyllum Boiss. extracts by parallel factor analysis. [PDF]
Ertekin ZC, Köroğlu A, Dinç E.
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Efficacy of Various Complexing Agents for Displacing Biologically Important Ligands from Eu(III) and Cm(III) Complexes in Artificial Body Fluids-An In Vitro Decorporation Study. [PDF]
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Variability of Bile Baseline Excitation-emission Fluorescence of Two Tropical Freshwater Fish Species. [PDF]
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Smooth PARAFAC Decomposition for Tensor Completion
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PARAFAC. Tutorial and applications
Chemometrics and Intelligent Laboratory Systems, 1997Abstract This paper explains the multi-way decomposition method PARAFAC and its use in chemometrics. PARAFAC is a generalization of PCA to higher order arrays, but some of the characteristics of the method are quite different from the ordinary two-way case.
Rasmus Bro
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On Uniqueness in Candecomp/Parafac
Psychometrika, 2002One of the basic issues in the analysis of three-way arrays by CANDECOMP/PARAFAC (CP) has been the question of uniqueness of the decomposition. Kruskal (1977) has proved that uniqueness is guaranteed when the sum of thek-ranks of the three component matrices involved is at least twice the rank of the solution plus 2.
Ten Berge, J.M.F., Sidiropoulos, N.D.
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PARAFAC: Parallel factor analysis
Computational Statistics & Data Analysis, 1994We review the method of Parallel Factor Analysis, which simultaneously fits multiple two-way arrays or ‘slices’ of a three-way array in terms of a common set of factors with differing relative weights in each ‘slice’. Mathematically, it is a straightforward generalization of the bilinear model of factor (or component) analysis (xij = ΣRr = 1airbjr) to ...
Harshman, R. A., Lundy, M. E.
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