9 citations · 15 across the 7 of their papers we have counts for
7 papers
Estimation of the number of single-photon emitters for multiple fluorophores with the same spectral signature
Wenchao Li, Shuo Li, Timothy C. Brown +6
Fluorescence microscopy is of vital importance for understanding biological function. However most fluorescence experiments are only qualitative inasmuch as the absolute number of…
Quantum diamond magnetometry for navigation in GNSS denied environments
Xuezhi Wang, Wenchao Li, Bill Moran +5
In this paper, a probabilistic method for map matching localisation based on magnetometery measurement and total magnetic intensity maps is described. We show that the method is ab…
Gravity aided navigation using Viterbi map matching algorithm
Wenchao Li, Christopher Gilliam, Xuezhi Wang +3
In GNSS-denied environments, aiding a vehicle's inertial navigation system (INS) is crucial to reducing the accumulated navigation drift caused by sensor errors (e.g. bias and nois…
Probabilistic Map Matching for Robust Inertial Navigation Aiding
Xuezhi Wang, Christopher Gilliam, Allison Kealy +2
Robust aiding of inertial navigation systems in GNSS-denied environments is critical for the removal of accumulated navigation error caused by the drift and bias inherent in inerti…
Enhancing Inertial Navigation Performance via Fusion of Classical and Quantum Accelerometers
Xuezhi Wang, Allison Kealy, Christopher Gilliam +11
While quantum accelerometers sense with extremely low drift and low bias, their practical sensing capabilities face two limitations compared with classical accelerometers: a lower…
Maximum Likelihood Estimation for Single Linkage Hierarchical Clustering
Dekang Zhu, Dan P. Guralnik, Xuezhi Wang +2
We derive a statistical model for estimation of a dendrogram from single linkage hierarchical clustering (SLHC) that takes account of uncertainty through noise or corruption in the…
Statistical Properties of the Single Linkage Hierarchical Clustering Estimator
Dekang Zhu, Dan P. Guralnik, Xuezhi Wang +2
Distance-based hierarchical clustering (HC) methods are widely used in unsupervised data analysis but few authors take account of uncertainty in the distance data. We incorporate a…