16 citations · 74 across the 31 of their papers we have counts for
4 papers · 1 filter
Phase Retrieval From Binary Measurements
Subhadip Mukherjee, Chandra Sekhar Seelamantula
We consider the problem of signal reconstruction from quadratic measurements that are encoded as +1 or -1 depending on whether they exceed a predetermined positive threshold or not…
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…
Signal Denoising Using the Minimum-Probability-of-Error Criterion
Jishnu Sadasivan, Subhadip Mukherjee, Chandra Sekhar Seelamantula
We address the problem of signal denoising via transform-domain shrinkage based on a novel criterion called the minimum probability of error (MPE), which measures t…