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Dependent Randomization in Parallel Binary Decision Fusion
Weiqiang Dong,
Moshe Kam
Electrical and Computer Engineering
Office of the Dean - NCE
Research output
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Contribution to journal
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Article
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peer-review
5
Scopus citations
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Dive into the research topics of 'Dependent Randomization in Parallel Binary Decision Fusion'. Together they form a unique fingerprint.
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Keyphrases
Binary Choice
100%
Compress
12%
Coordinated Action
12%
Data Fusion Center
62%
Decentralized Detection
12%
Decision Fusion
100%
Dedicated Channel
12%
Detection Probability
12%
Detection Scheme
12%
Detection System
25%
False Alarm Rate
12%
Global Decision
25%
High Probability
12%
Hypothesis H
12%
Local Decision
62%
Local Detectors
100%
Local Observations
25%
Mixed Strategy
12%
Neyman-Pearson Criterion
12%
Nonconcave
12%
Receiver Operating Characteristic Curve
25%
Synchronous Motion
12%
System Performance
25%
Engineering
Decision Fusion
100%
Decision Rule
60%
Dedicated Channel
20%
Detection Scheme
20%
Local Decision
100%
Mixed Strategy
20%
Operating-Characteristic Curve
40%
Pearson Criterion
20%
Probability of Detection
20%
Probability of False Alarm
20%
Randomization
100%
Receiver Operating Characteristic
40%
Specifies
20%
Systems Performance
40%
Mathematics
Binary Decision
100%
Characteristic Curve
66%
Decision Rule
100%
False Alarm
33%
Mixed Strategy
33%
Probability Theory
66%