Results 31 to 40 of about 2,781,703 (301)
WOVEN FRAMES IN TENSOR PRODUCT OF HILBERT SPACES [PDF]
Journal of Algebraic Systems, 2020 The tensor product is the fundemental ingredient for extending one-dimensional techniques of filtering and compression in signal preprocessing to higher dimensions.
S. Afshar Jahanshahi, A. Ahmadi
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Spline- and tensor-based signal reconstruction : from structure analysis to high-performance algorithms to multiplatform implementations and medical applications [PDF]
, 2015 The problem of signal reconstruction is of fundamental practical value for many applications associated with the field of signal and image processing.
Morozov, Oleksii
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Stabilizing tensor products [PDF]
Proceedings of the American Mathematical Society, 1975 Let C C be a symmetric monoidal category with a suspension, and let SC be the ...
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Tensor product of partial acts [PDF]
, 2022 In this article we define the tensor product of partial acts over a semigroup and prove several properties of this tensor product. We also define the notion of a polite partial biact, which is needed to define partial actions on the tensor product of ...
Saarse, Heleen, Väljako, Kristo
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IEEE Transactions on Quantum Engineering, 2020 We provide a procedure to construct entanglement-assisted Calderbank-Shor-Steane (CSS) codes over qudits from the parity check matrices of two classical codes over Fq, where q = pk, p is prime, and k is a positive integer.
Priya J. Nadkarni +1 more
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Tensor-product coaction functors [PDF]
, 2020 Recent work by Baum et al. [‘Expanders, exact crossed products, and the Baum–Connes conjecture’, Ann. K-Theory 1(2) (2016), 155–208], further developed by Buss et al. [‘Exotic crossed products and the Baum–Connes conjecture’, J. reine angew. Math.
Quigg, John +2 more
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Tensor-matrix products with a compressed sparse tensor [PDF]
Proceedings of the 5th Workshop on Irregular Applications: Architectures and Algorithms, 2015 The Canonical Polyadic Decomposition (CPD) of tensors is a powerful tool for analyzing multi-way data and is used extensively to analyze very large and extremely sparse datasets. The bottleneck of computing the CPD is multiplying a sparse tensor by several dense matrices. Algorithms for tensor-matrix products fall into two classes.
Shaden Smith, George Karypis
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Localizations of tensor products
Rendiconti del Seminario Matematico della Università di Padova, 2014 A homomorphism {\lambda}:A\rightarrow B between R -modules is called a localization if for all {\varphi} \in Hom_{R}(A,B)
Dugas, Manfred +2 more
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On tensor products of CSS codes [PDF]
Annales de l’Institut Henri Poincaré D, Combinatorics, Physics and their Interactions, 2019 CSS codes are in one-to-one correspondance with length 3 chain complexes. The latter are naturally endowed with a tensor product \otimes which induces a similar operation on the former. We investigate this operation, and in particular its behavior with regard to minimum distances. Given
Audoux, Benjamin, Couvreur, Alain
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Finsler geometry on higher order tensor fields and applications to high angular resolution diffusion imaging. [PDF]
, 2009 We study 3D-multidirectional images, using Finsler geometry. The application considered here is in medical image analysis, specifically in High Angular Resolution Diffusion Imaging (HARDI) (Tuch et al. in Magn. Reson. Med.
Florack, L.M.J. +9 more
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