SBL
代码说明：
说明： 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!)
文件列表：
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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