A Hankel-structured sensing and decomposition approach yields maximum-likelihood optimal estimators for multi-signal DoA under Gaussian and Laplace noise, with simulations showing improved resolution at lower SNR.
Matrix pencil method for estimating parameters of exponentially damped/undamped sinusoids in noise,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
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.
citing papers explorer
-
Super-resolution Multi-signal Direction-of-Arrival Estimation by Hankel-structured Sensing and Decomposition
A Hankel-structured sensing and decomposition approach yields maximum-likelihood optimal estimators for multi-signal DoA under Gaussian and Laplace noise, with simulations showing improved resolution at lower SNR.
-
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.