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Updated: Jul 11, 2025

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
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快速DOA估计算法通过积极的增量修改的Cholesky分解增强的coprime阵列传感器

Jing Song1, Lin Cao2,3, Zongmin Zhao2,3

  • 1School of Artificial Intelligence, China University of Mining and Technology (Beijing), Beijing 100083, China.

Sensors (Basel, Switzerland)
|November 14, 2023
PubMed
概括

这项研究引入了使用正增量修改的巧莱斯基分解原子规范最小化 (PI-CANM) 的快速到达方向 (DOA) 估计方法. PI-CANM算法提高了DOA估计的准确性和速度,即使在具有挑战性的条件下.

关键词:
DOA估计的估计值.原子规范最小化的最小化.同变矩阵重建的重建积极增量修改的乔莱斯基分解.虚拟的插值是虚拟的插值.

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