Sequential Unfolding SVD for Tensors With Applications in Array Signal Processing

DOI10.1109/TSP.2009.2027740zbMath1392.94433MaRDI QIDQ4570004

Andreas Richter, Visa Koivunen, Jussi Salmi

Publication date: 9 July 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

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Structured multi-way arrays and their applications ⋮ A Constructive Algorithm for Decomposing a Tensor into a Finite Sum of Orthonormal Rank-1 Terms ⋮ Effective Criteria for Specific Identifiability of Tensors and Forms ⋮ Orthogonal and unitary tensor decomposition from an algebraic perspective ⋮ Separation of variables for function generated high-order tensors ⋮ Subspace estimation from unbalanced and incomplete data matrices: \({\ell_{2,\infty}}\) statistical guarantees ⋮ Orthogonal tensor decomposition and orbit closures from a linear algebraic perspective ⋮ HOSVD based multidimensional parameter estimation for massive MIMO system from incomplete channel measurements

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