Multiple sparse measurement gradient reconstruction algorithm for DOA estimation in compressed sensing

DOI10.1155/2015/152570zbMath1395.94159OpenAlexW1543789979WikidataQ59117404 ScholiaQ59117404MaRDI QIDQ1664790

Y. Aharonov

Publication date: 27 August 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/152570

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Novel diagonal reloading based direction of arrival estimation in unknown non-uniform noise

Cites Work

• Steepest descent methods for multicriteria optimization.
• Hidden Cliques and the Certification of the Restricted Isometry Property
• On Sparse Representations in Arbitrary Redundant Bases
• Two-Point Step Size Gradient Methods
• Direction-of-Arrival Estimation Using a Mixed $\ell _{2,0}$ Norm Approximation
• SPICE: A Sparse Covariance-Based Estimation Method for Array Processing
• Optimal Algorithms for <formula formulatype="inline"> <tex Notation="TeX">$L_{1}$</tex></formula>-subspace Signal Processing
• Conjugate Gradient Iterative Hard Thresholding: Observed Noise Stability for Compressed Sensing
• The Computational Complexity of the Restricted Isometry Property, the Nullspace Property, and Related Concepts in Compressed Sensing
• Compressed sensing

This page was built for publication: Multiple sparse measurement gradient reconstruction algorithm for DOA estimation in compressed sensing