13 citations · 13 across the 2 of their papers we have counts for
3 papers
Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared Imaging
Subhadip Mukherjee, Deepak R., Huaijin Chen +2
We address the problem of sparse recovery in an online setting, where random linear measurements of a sparse signal are revealed sequentially and the objective is to recover the un…
Deep Sparse Coding Using Optimized Linear Expansion of Thresholds
Debabrata Mahapatra, Subhadip Mukherjee, Chandra Sekhar Seelamantula
We address the problem of reconstructing sparse signals from noisy and compressive measurements using a feed-forward deep neural network (DNN) with an architecture motivated by the…
Super-Resolution From Binary Measurements With Unknown Threshold
Subhadip Mukherjee, Anjany Kumar Sekuboyina, Chandra Sekhar Seelamantula
We address the problem of super-resolution of point sources from binary measurements, where random projections of the blurred measurement of the actual signal are encoded using onl…