Optimizing Orthogonalized Tensor Deflation via Random Tensor Theory

Mohamed El Amine Seddik, Mohammed Mahfoud, Merouane Debbah

This paper tackles the problem of recovering a low-rank signal tensor with possibly correlated components from a random noisy tensor, or so-called spiked tensor model. When the und…