Although Global Navigation Satellite Systems (GNSS) receivers currently achieve high
accuracy when processing their geographic location under line of sight (LOS), multipath …

In this paper, we propose a new pre-processing technique for efficient multidimensional
wideband parameter estimation. One application is provided by an orthogonal frequency …

Low multilinear rank approximation (LMLRA) is a tool for compressing a tensor into a more
compact form, while preserving most of its information. An LMLRA of an th order tensor …

Tensors, as a natural extension of matrices, and their decompositions provide important
tools in many disciplines such as psychometrics, signal processing, data communication …

We develop and study incremental algorithms for truncated higher-order singular value
decompositions. By combining the SVD updating and different truncated higher-order …

In this paper we study the parameter estimation problem of an OFDM based joint wideband
SIMO radar and communication system. The parameters to be estimated are time delays …

Across a range of applications, low multilinear rank approximation (LMLRA) is used to
compress large tensors into a more compact form, while preserving most of their information …

A low multilinear rank approximation (LMLRA) of a tensor is often used to compress a large
tensor into a much more compact form, while still maintaining most of the information in the …

Multilinear singular value decomposition (MLSVD), also known as Higher-order SVD
(HOSVD), is a popular method for approximating a tensor of order≥ 3 via a smaller core …

Aplicações que empregam sistemas globais de navegação por satélite, do inglês Global
Navigation Satellite Systems (GNSS) para prover posicionamento acurado estão sujeitos a …