132 citations · 384 across the 20 of their papers we have counts for
20 papers
Lipschitz Learning for Signal Recovery
Hong Jiang, Jong-Hoon Ahn, Xiaoyang Wang
We consider the recovery of signals from their observations, which are samples of a transform of the signals rather than the signals themselves, by using machine learning (ML). We…
Block-wise Lensless Compressive Camera
Xin Yuan, Gang Huang, Hong Jiang +1
The existing lensless compressive camera ()~\cite{Huang13ICIP} suffers from low capture rates, resulting in low resolution images when acquired over a short t…
Multi-resolution Compressive Sensing Reconstruction
Adriana Gonzalez, Hong Jiang, Gang Huang +1
We consider the problem of reconstructing an image from compressive measurements using a multi-resolution grid. In this context, the reconstructed image is divided into multiple re…
Convergence of the Generalized Alternating Projection Algorithm for Compressive Sensing
Xin Yuan, Hong Jiang, Paul Wilford
The convergence of the generalized alternating projection (GAP) algorithm is studied in this paper to solve the compressive sensing problem $\yv = \Amat \xv + \epsilonv$. By assumi…
Constrained and Preconditioned Stochastic Gradient Method
Hong Jiang, Gang Huang, Paul Wilford +1
We consider stochastic approximations which arise from such applications as data communications and image processing. We demonstrate why constraints are needed in a stochastic appr…
Compressive Sensing via Low-Rank Gaussian Mixture Models
Xin Yuan, Hong Jiang, Gang Huang +1
We develop a new compressive sensing (CS) inversion algorithm by utilizing the Gaussian mixture model (GMM). While the compressive sensing is performed globally on the entire image…