4 accepted papers
Tensor contraction is a multilinear algebra operator that defines an inner product between two tensors with compatible dimensions. In this work, we show that the MIMO-OFDM (Multiple-Input Multiple-Output - Orthogonal Frequency Division Multiplexing) received signal can be modeled by means of the ten…
Massive multiple-input multiple-output (MIMO) theoretical performance results have attracted the attention of the community due to the possibility of increasing the spectral efficiency in wireless communications. The performance potential is mainly conditioned to the use of digital beamforming techn…
In the past few years, multidimensional array processing emerged as the generalization of classic array signal processing. Tensor methods exploiting array multidimensionality provided more accurate parameter estimation and consistent modeling. In this paper, multilinear translation invariant arrays…
The Canonical Polyadic (CP) tensor decomposition has become an attractive mathematical tool these last ten years in various fields. Yet, efficient algorithms are still lacking to compute the full CP decomposition, whereas rank-one approximations are rather easy to compute. We propose a new deflation…