60 citations · 151 across the 9 of their papers we have counts for
9 papers
Quantum Multi-Parameter Adaptive Bayesian Estimation and Application to Super-Resolution Imaging
Kwan Kit Lee, Christos Gagatsos, Saikat Guha +1
In Bayesian estimation theory, the estimator attains the minimum mean squared error (MMSE) for estimating a scalar parameter of interest from the observatio…
Bounds on mutual information of mixture data for classification tasks
Yijun Ding, Amit Ashok
The data for many classification problems, such as pattern and speech recognition, follow mixture distributions. To quantify the optimum performance for classification tasks, the S…
Invertibility of Multi-Energy X-ray Transform
Yijun Ding, Eric W. Clarkson, Amit Ashok
Purpose: The goal is to provide a sufficient condition on the invertibility of a multi-energy (ME) X-ray transform. The energy-dependent X-ray attenuation profiles can be represent…
X-ray measurement model incorporating energy-correlated material variability and its application in information-theoretic system analysis
Yijun Ding, Amit Ashok
Extending our prior work, we propose a multi-energy X-ray measurement model incorporating material variability with energy correlations to enable the analysis and exploration of th…
Approaching Quantum Limited Super-Resolution Imaging without Prior Knowledge of the Object Location
Michael R Grace, Zachary Dutton, Amit Ashok +1
A recently identified class of receivers which demultiplex an optical field into a set of orthogonal spatial modes prior to detection can surpass canonical diffraction limits on sp…
Attaining the quantum limit of super resolution in imaging an object's length via pre-detection spatial mode sorting
Zachary Dutton, Ronan Kerviche, Amit Ashok +1
Recent work considered the ultimate (quantum) limit of the precision of estimating the distance between two point objects. It was shown that the performance gap between the quantum…