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$(L_r,L_r,1)$-Decompositions, Sparse Component Analysis, and the Blind Separation of Sums of Exponentials

  • Published:2022-06 Issue:2 Volume:43 Page:912-938
  • ISSN:0895-4798
  • Container-title:SIAM Journal on Matrix Analysis and Applications
  • language:en
  • Short-container-title:SIAM J. Matrix Anal. Appl.

Author:

Govindarajan NithinORCID,Epperly Ethan N.ORCID,Lathauwer Lieven DeORCID

Funder

Onderzoeksprogramma Artificiele Intelligentie Vlaanderen

Fonds Wetenschappelijk Onderzoek

Onderzoeksraad, KU Leuven

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Analysis

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tensor decomposition meets blind source separation;Signal Processing;2024-08

2. Decomposition of a Tensor into Multilinear Rank-\({(M_{{r}},N_{{r}},\cdot )}\) Terms;SIAM Journal on Matrix Analysis and Applications;2024-07-15

3. Joint INDSCAL Decomposition Meets Blind Source Separation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Tensorial Convolutive Blind Source Separation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Block-Term Tensor Decomposition in Array Signalprocessing;2024
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