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Distributed Sampling for the Detection of Poisson Sources under Observation Erasures
Vanlalruata Ralte, Amitalok J. Budkuley,
Stefano Rini
電信工程研究所
研究成果
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Conference contribution
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Keyphrases
Central Detector
100%
Distributed Sampling
100%
Efficient Use of Resources
33%
Error Probability
33%
False Negative Rate
33%
Hypothesis Testing
66%
Incomplete Signals
33%
Innovative Strategies
33%
Large Population
33%
Large-scale Testing
33%
Limited Capacity
33%
Mathematical Analysis
33%
Multiple Tests
33%
Optimal Sample Size
33%
Poisson
100%
Received Signal
33%
Remote Sources
33%
Robust Decision Making
33%
Sampling Constraints
66%
Signal Reception
33%
Source Observations
33%
Computer Science
Complex Environment
100%
Decision-Making
100%
Enhance Understanding
100%
False Negative
100%
False Positive
100%
Innovative Strategy
100%
Problem Setting
100%
Resource Allocation
100%
Earth and Planetary Sciences
Decision Making
50%
Hypothesis Testing
100%
Noise Type
50%
Resource Allocation
50%
Signal Reception
50%
Mathematics
False Negative Rate
50%
Mathematical Analysis
50%
Minimizes
50%
Probability Theory
50%
Statistical Hypothesis Testing
100%
Physics
Noise Type
100%
Engineering
False Negative
100%