2009, English, Article edition: Non-iterative solution for PARAFAC with a Toeplitz matrix factor Kibangou, Alain; Favier, Gérard

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Bookmark: http://trove.nla.gov.au/version/206442
Physical Description
  • text
Published
  • HAL - CCSD
  • 2009
Language
  • English

Edition details

Title
  • Non-iterative solution for PARAFAC with a Toeplitz matrix factor
Author
  • Kibangou, Alain
  • Favier, Gérard
Published
  • HAL - CCSD
  • 2009
Physical Description
  • text
Subjects
Notes
  • Recently, tensor signal processing has received an increased attention, particularly in the context of wireless communication applications. The so-called PARAllel FACtor (PARAFAC) decomposition is certainly the most used tensor tool. In general, the parameter estimation of a PARAFAC decomposition is carried out by means of the iterative ALS algorithm, which exhibits the following main drawbacks: convergence towards local minima, a high number of iterations for convergence, and difficulty to take, optimally, special matrix structures into account. In this paper, we propose a non-iterative parameter estimation method for a PARAFAC decomposition when one matrix factor has a Toeplitz structure, a situation that is commonly encountered in signal processing applications. We illustrate the proposed method by means of simulation results.
  • HAL:hal-00397808, version 1
  • HAL:http:/​/​hal.archives-ouvertes.fr/​hal-00397808/​en/​
Language
  • English
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