113 citations · 121 across the 5 of their papers we have counts for
3 papers · 1 filter
Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals
Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig +2
Energy consumption is an important issue in continuous wireless telemonitoring of physiological signals. Compressed sensing (CS) is a promising framework to address it, due to its…
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…
Support Recovery of Sparse Signals
Yuzhe Jin, Young-Han Kim, Bhaskar D. Rao
We consider the problem of exact support recovery of sparse signals via noisy measurements. The main focus is the sufficient and necessary conditions on the number of measurements…