Swamp reducing technique for tensor decomposition

@article{Navasca2008SwampRT,
  title={Swamp reducing technique for tensor decomposition},
  author={Carmeliza Navasca and Lieven De Lathauwer and Stefan Kindermann},
  journal={2008 16th European Signal Processing Conference},
  year={2008},
  pages={1-5}
}
There are numerous applications of tensor analysis in signal processing, such as, blind multiuser separation-equalization-detection and blind identification. As the applicability of tensor analysis widens, the numerical techniques must improve to accommodate new data. We present a new numerical method for tensor analysis. The method is based on the iterated Tikhonov regularization and a parameter choice rule. Together these elements dramatically accelerate the well-known Alternating Least… CONTINUE READING
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