21 citations · 36 across the 4 of their papers we have counts for
4 papers
Unrolled Optimization with Deep Learning-based Priors for Phaseless Inverse Scattering Problems
Samruddhi Deshmukh, Amartansh Dubey, Ross Murch
Inverse scattering problems, such as those in electromagnetic imaging using phaseless data (PD-ISPs), involve imaging objects using phaseless measurements of wave scattering. Such…
Physics Assisted Deep Learning for Indoor Imaging using Phaseless Wi-Fi Measurements
Samruddhi Deshmukh, Amartansh Dubey, Dingfei Ma +2
A physics assisted deep learning framework to perform accurate indoor imaging using phaseless Wi-Fi measurements is proposed. It is able to image objects that are large (compared t…
Accurate Indoor Radio Frequency Imaging using a New Extended Rytov Approximation for Lossy Media
Amartansh Dubey, Samruddhi Deshmukh, Li Pan +2
Imaging objects with high relative permittivity and large electrical size remains a challenging problem in the field of inverse scattering. In this work we present a phaseless inve…
Improved Covariance Matrix Estimator using Shrinkage Transformation and Random Matrix Theory
Samruddhi Deshmukh, Amartansh Dubey
One of the major challenges in multivariate analysis is the estimation of population covariance matrix from sample covariance matrix (SCM). Most recent covariance matrix estimators…