Entanglement-enhanced Neyman-Pearson target detection
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DOI: 10.1103/cxl9-ljn8
Abstract: Quantum illumination (QI) provides entanglement-enabled target-detection enhancement, despite operating in an entanglement-breaking environment. Existing experimental studies of QI have utilized a Bayesian approach, assuming that the target is equally likely to be present or absent… read more here.
Keywords: detection; probability; entanglement; target detection ... See more keywords
Optimal Detection for a Prospect Theoretic Variant of the Neyman-Pearson Problem
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DOI: 10.1109/lsp.2025.3572832
Abstract: A prospect theoretic variant of the Neyman-Pearson (NP) detection problem is proposed for a behavioral (human) decision maker, who perceives distorted versions of the detection and false alarm probabilities. The perceived probabilities are obtained as… read more here.
Keywords: detection; prospect theoretic; variant neyman; neyman pearson ... See more keywords
Enhancing 5G Spectrum Sensing: Noncoherent Neyman–Pearson Detector Design and Interference Suppression Method
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DOI: 10.1109/tim.2024.3436104
Abstract: As the evolution of post-5G and Industrial Internet of Things (IoT) technologies progresses, existing radio frequency (RF) resources become increasingly strained. It is crucial to develop efficient sensing methods for spectrum utilization. Conventional spectrum sensing… read more here.
Keywords: neyman pearson; noncoherent neyman; interference suppression; spectrum sensing ... See more keywords
Neyman-Pearson classification algorithms and NP receiver operating characteristics
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DOI: 10.1126/sciadv.aao1659
Abstract: An umbrella algorithm and a graphical tool for asymmetric error control in binary classification. In many binary classification applications, such as disease diagnosis and spam detection, practitioners commonly face the need to limit type I… read more here.
Keywords: classification; error; type error; neyman pearson ... See more keywords