2015
Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors
ICASSP 2015accepted
We consider the problem of estimating the singular vectors of low-rank signal matrices buried in noise in the setting where the singular vectors are assumed to be Kronecker products of unknown vectors. We propose four algorithms for estimating such singular vectors, analyze their performance and sho…