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Mikael Sørensen

2 accepted papers

2023

Radio-Astronomy Imaging and Interference Excision Using Tensor Decomposition and Canonical Correlation Analysis

ICASSP 2023accepted

Antenna arrays with a large number of sensors are becoming increasingly common in radio astronomy. This has motivated the development of array signal processing tools for high-resolution imaging that exploit source signal properties such as sparsity and spectral or temporal variability. We propose a…

Cited by 0SourceScholar
2019

Canonical Polyadic Decomposition of a Tensor That Has Missing Fibers: A Monomial Factorization Approach

ICASSP 2019accepted

The Canonical Polyadic Decomposition (CPD) is one of the most basic tensor models used in signal processing and machine learning. Despite its wide applicability, identifiability conditions and algorithms for CPD in cases where the tensor is incomplete are lagging behind its practical use. We first p…

Cited by 0SourceScholar