Peter K. Willett
Professor/Electrical and Computer Engr
Storrs Mansfield
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Scholarly Contributions
450 Scholarly Contributions
Sometimes They Come Back: Testing Two Simple Hypothesis (in the Realm of Unlabeled Data)
Research Type: Conference Proceedings
Space-based Global Maritime Surveillance – Part 1: Satellite Technologies
2021
Research Type: Journal Article
Space-based Global Maritime Surveillance – Part 2: Artificial Intelligence and Data Fusion Techniques
2021
Research Type: Journal Article
Spaceborne GNSS-Reflectometry for Ship-Detection Applications: Impact of the Acquisition Geometry and Polarization
Research Type: Conference Proceedings
Speed and accuracy comparison of techniques for multiuser detection in synchronous CDMA
2004
Research Type: Journal Article
Speed and accuracy comparison of techniques to solve a binary quadratic programming problem with applications to synchronous CDMA
2001
Research Type: Other Scholarly Work
State Estimators for Tracking Sharply-Maneuvering Ground Targets
Research Type: Conference Proceedings
Statistical Efficiency of Simultaneous Target State and Sensor Bias Estimation
2018
Research Type: Digital and Electronic Media, Social Media, Blog, Podcast, Magazine/Trade Publication
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis
2022
Research Type: Journal Article
Statistically Efficient Estimation of Noise Variances for a Wiener Process Observed with Measurement Noise
Research Type: Conference Proceedings
Statistically Efficient Multi-Sensor Rotational Bias Estimation for Passive Sensors without Target State Estimation
2020
Research Type: Journal Article
Statistically Efficient Passive Ranging Using Signal Intensity From a Single Sensor
2017
Research Type: Journal Article
Stochastic modeling of a terrorist event via the ASAM system
2004
Research Type: Other Scholarly Work
Symmetrizing measurement equations for association-free multi-target tracking via point set distances
Research Type: Conference Proceedings
Taking Advantage of Group Behavior When Tracking Multiple Threats in Cluttered Surveillance Data
2024
Research Type: Conference Proceedings