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	2-D DOA tracking using variational sparse Bayesian learning embedded with Kalman filter
	Huang, Qinghua[1]; Huang, Jingbiao[2]; Liu, Kai[3]; Fang, Yong[4]
刊名	EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
	2018
卷号	2018
关键词	2-D direction-of-arrival (DOA) tracking Spherical array Transition probabilities (TP) model Variational sparse Bayesian learning (VSBL) Kalman filter (KF)
ISSN号	1687-6180
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2179435
专题	上海大学
作者单位	1.[1]Shanghai Univ, Key Lab Specialty Fiber Opt & Opt Access Networks, Shanghai 200072, Peoples R China. 2.[2]Shanghai Univ, Key Lab Specialty Fiber Opt & Opt Access Networks, Shanghai 200072, Peoples R China. 3.[3]Shanghai Univ, Key Lab Specialty Fiber Opt & Opt Access Networks, Shanghai 200072, Peoples R China. 4.[4]Shanghai Univ, Key Lab Specialty Fiber Opt & Opt Access Networks, Shanghai 200072, Peoples R China.
推荐引用方式 GB/T 7714	Huang, Qinghua[1],Huang, Jingbiao[2],Liu, Kai[3],et al. 2-D DOA tracking using variational sparse Bayesian learning embedded with Kalman filter[J]. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING,2018,2018.
APA	Huang, Qinghua[1],Huang, Jingbiao[2],Liu, Kai[3],&Fang, Yong[4].(2018).2-D DOA tracking using variational sparse Bayesian learning embedded with Kalman filter.EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING,2018.
MLA	Huang, Qinghua[1],et al."2-D DOA tracking using variational sparse Bayesian learning embedded with Kalman filter".EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING 2018(2018).

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