4 citations · 4 across the 1 of their papers we have counts for
2 papers
eess.SP2025★ 4 cited
Development of a Photon-Counting Deadtime Noise Model that Extends Dynamic Range and Resolution in Atmospheric Lidar
Grant J. Kirchhoff, Matthew Hayman, Willem J. Marais +2
This work derives and validates a noise model that encapsulates deadtime of non-paralyzable detectors with random photon arrivals to enable advanced processing, like maximum-likeli…
eess.SP2023
2D Signal Estimation for Sparse Distributed Target Photon Counting Data
Matthew Hayman, Robert A. Stillwell, Josh Carnes +3
In this study, we explore the utilization of maximum likelihood estimation for the analysis of sparse photon counting data obtained from distributed target lidar systems. Specifica…