文件名称:SBL
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基于稀疏贝叶斯学习的窄带信号波达方向估计，实测有用，亲测有效！(Based on the sparse Bayesian learning, the narrow-band signal direction estimation is useful, and the pro-test is effective!)
相关搜索： 稀疏贝叶斯学习DOA估计
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| SBL\doa.docx | 49455 | 2019-10-27 |
| SBL\GMM_SBL\GMM_Noise.m | 3060 | 2019-10-27 |
| SBL\GMM_SBL\GMM_SBL_SNR.m | 3557 | 2019-11-08 |
| SBL\GMM_SBL\peak_seek.m | 990 | 2019-09-18 |
| SBL\GMM_SBL\rd.m | 835 | 2019-10-24 |
| SBL\Off-Grid\PSBL.m | 2434 | 2019-11-10 |
| SBL\peak_seek.m | 990 | 2019-09-18 |
| SBL\Standard_SBL\music_vs_sbl.m | 4642 | 2019-10-23 |
| SBL\Standard_SBL\peak_seek.m | 990 | 2019-09-18 |
| SBL\Standard_SBL\rd.m | 835 | 2019-10-24 |
| SBL\Standard_SBL\SBL_based_DOAs_Estimation.m | 2729 | 2019-10-27 |
| SBL\Standard_SBL\SBL_DOA_SNR.m | 3242 | 2019-10-13 |
| SBL\SαS_SBL\GMM_Noise.m | 2630 | 2019-10-24 |
| SBL\SαS_SBL\peak_seek.m | 990 | 2019-09-18 |
| SBL\SαS_SBL\rd.m | 1226 | 2019-10-24 |
| SBL\GMM_SBL | 0 | 2019-10-25 |
| SBL\Off-Grid | 0 | 2019-11-10 |
| SBL\Standard_SBL | 0 | 2019-10-25 |
| SBL\SαS_SBL | 0 | 2019-10-24 |
| SBL | 0 | 2019-11-06 |
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