181 citations · 244 across the 16 of their papers we have counts for
4 papers · 1 filter
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
Zeyu Yan, Fei Wen, Rendong Ying +2
Lossy compression algorithms are typically designed to achieve the lowest possible distortion at a given bit rate. However, recent studies show that pursuing high perceptual qualit…
Efficient Minimization Algorithms for Compressive Sensing Based on Proximity Operator
Fei Wen, Yuan Yang, Peilin Liu +2
This paper considers solving the unconstrained -norm () regularized least squares (-LS) problem for recovering sparse signals in compressive sensing. We…
Distributed Compressed Sensing off the Grid
Zhenqi Lu, Rendong Ying, Sumxin Jiang +2
This letter investigates the joint recovery of a frequency-sparse signal ensemble sharing a common frequency-sparse component from the collection of their compressed measurements.…
Spectral Compressive Sensing with Model Selection
Zhenqi Lu, Rendong Ying, Sumxin Jiang +3
The performance of existing approaches to the recovery of frequency-sparse signals from compressed measurements is limited by the coherence of required sparsity dictionaries and th…