Blind channel identification algorithms based on the Parafac decomposition of cumulant tensors: the single and multiuser cases

DOI10.1016/j.sigpro.2007.12.010zbMath1186.94122OpenAlexW2068532527MaRDI QIDQ971404

João Cesar M. Mota, Gérard Favier, Carlos Estêvão R. Fernandes

Publication date: 19 May 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2007.12.010

zbMATH Keywords

parameter estimationtensor decompositionchannel identificationunderdetermined linear mixtures

Mathematics Subject Classification ID

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

Related Items (5)

Tensor decompositions with banded matrix factors ⋮ Nonlinear system modeling and identification using Volterra‐PARAFAC models ⋮ Iterative methods for the canonical decomposition of multi-way arrays: application to blind underdetermined mixture identification ⋮ Blind equalization of nonlinear channels using a tensor decomposition with code/space/time diversities ⋮ Blind identification of MISO-FIR channels

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