Jianli Huang1, Yu Wang1, Zaixiao Gong1

  • 1State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, Chinahuangjianli@mail.ioa.ac.cn, wy@mail.ioa.ac.cn, gzx@mail.ioa.ac.cn, nhq@mail.ioa.ac.cn, wangj@mail.ioa.ac.cn, whb@mail.ioa.ac.cn.

JASA express letters
|August 28, 2025
PubMed
概括

这项研究引入了离网稀疏贝叶斯式学习,用于解卷束形成,增强现实目标的空间分辨率. 改进的方法克服了传统技术的转移变量束图案的局限性,并针对采样网.

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