Pages that link to "Item:Q739462"
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The following pages link to Sparse frame DOA estimations via a rank-one correlation model for low SNR and limited snapshots (Q739462):
Displaying 12 items.
- Source localization using a sparse representation framework to achieve superresolution (Q600881) (← links)
- Spark-level sparsity and the \(\ell_1\) tail minimization (Q1748258) (← links)
- Scalable antinoise-robustness estimation of frequency and direction of arrival based on the relaxed sparse array (Q2002402) (← links)
- Single snapshot DOA estimation by minimizing the fraction function in sparse recovery (Q2007122) (← links)
- Sparse signal recovery for direction-of-arrival estimation based on source signal subspace (Q2336510) (← links)
- Sparse continuous-field and super-resolution method for direction-of-arrival estimation (Q2361301) (← links)
- A sparse recovery method for DOA estimation based on the sample covariance vectors (Q2399135) (← links)
- Source enumeration based on the singular vector of Hankel matrix for low signal-to-noise ratio (Q2399138) (← links)
- On gridless sparse methods for multi-snapshot direction of arrival estimation (Q2405547) (← links)
- A subspace searching approximation message passing algorithm for single snapshot DOA estimation (Q4690298) (← links)
- A two-step compressed sensing approach for single-snapshot DOA estimation of closely spaced signals (Q6483888) (← links)
- Effectiveness of the tail-atomic norm in gridless spectrum estimation (Q6567394) (← links)