Novel wideband DOA estimation based on sparse bayesian learning with dirichlet process prio
| dc.contributor.author | Wang, Lu | |
| dc.contributor.author | Zhao, Lifan | |
| dc.contributor.author | Bi, Guoan | |
| dc.date.accessioned | 2019-06-12T11:30:17Z | |
| dc.date.available | 2019-06-12T11:30:17Z | |
| dc.date.issued | 2016-01 | |
| dc.description | p.275 - 289 | en_US |
| dc.identifier.issn | 1053587X | |
| dc.identifier.uri | http://hdl.handle.net/123456789/7484 | |
| dc.language.iso | en | en_US |
| dc.relation.ispartofseries | In : IEEE transactions on signal processing, Vol.64, n°2 (Janv. 2016); | |
| dc.subject | Statistique bayésienne | en_US |
| dc.subject | Prise de décision (statistique) | en_US |
| dc.subject | Algorithmes EM | en_US |
| dc.subject | Dirichlet , processus de | en_US |
| dc.title | Novel wideband DOA estimation based on sparse bayesian learning with dirichlet process prio | en_US |
| dc.type | Article | en_US |