890 citations · 3.4k across the 17 of their papers we have counts for
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Fast Marginalized Block Sparse Bayesian Learning Algorithm
Benyuan Liu, Zhilin Zhang, Hongqi Fan +1
The performance of sparse signal recovery from noise corrupted, underdetermined measurements can be improved if both sparsity and correlation structure of signals are exploited. On…
Compressed Sensing of EEG for Wireless Telemonitoring with Low Energy Consumption and Inexpensive Hardware
Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig +1
Telemonitoring of electroencephalogram (EEG) through wireless body-area networks is an evolving direction in personalized medicine. Among various constraints in designing such a sy…
Sparse Signal Recovery in the Presence of Intra-Vector and Inter-Vector Correlation
Bhaskar D. Rao, Zhilin Zhang, Yuzhe Jin
This work discusses the problem of sparse signal recovery when there is correlation among the values of non-zero entries. We examine intra-vector correlation in the context of the…
Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG via Block Sparse Bayesian Learning
Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig +1
Fetal ECG (FECG) telemonitoring is an important branch in telemedicine. The design of a telemonitoring system via a wireless body-area network with low energy consumption for ambul…
Extension of SBL Algorithms for the Recovery of Block Sparse Signals with Intra-Block Correlation
Zhilin Zhang, Bhaskar D. Rao
We examine the recovery of block sparse signals and extend the framework in two important directions; one by exploiting signals' intra-block correlation and the other by generalizi…