New algorithms for rank-1 Hankel and Toeplitz matrix approximations under L2 and L1 norms yield maximum-likelihood optimal estimators for few-shot direction-of-arrival estimation.
A global geometric framework for nonlinear dimensionality reduction,
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Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation
New algorithms for rank-1 Hankel and Toeplitz matrix approximations under L2 and L1 norms yield maximum-likelihood optimal estimators for few-shot direction-of-arrival estimation.