93 citations · 524 across the 46 of their papers we have counts for
4 papers · 1 filter
Two-Part Reconstruction in Compressed Sensing
Yanting Ma, Dror Baron, Deanna Needell
Two-part reconstruction is a framework for signal recovery in compressed sensing (CS), in which the advantages of two different algorithms are combined. Our framework allows to acc…
Mixture Gaussian Signal Estimation with L_infty Error Metric
Jin Tan, Dror Baron, Liyi Dai
We consider the problem of estimating an input signal from noisy measurements in both parallel scalar Gaussian channels and linear mixing systems. The performance of the estimation…
Performance Regions in Compressed Sensing from Noisy Measurements
Junan Zhu, Dror Baron
In this paper, compressed sensing with noisy measurements is addressed. The theoretically optimal reconstruction error is studied by evaluating Tanaka's equation. The main contribu…
Signal reconstruction in linear mixing systems with different error metrics
Jin Tan, Dror Baron
We consider the problem of reconstructing a signal from noisy measurements in linear mixing systems. The reconstruction performance is usually quantified by standard error metrics…