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Optimal sliding-window detector for disruptions in random sequences
Wei Chang
, Chris Rorres
,
Moshe Kam
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Keyphrases
Neyman-Pearson Criterion
100%
Sliding Window Detector
100%
Medical Image
50%
Image Processing
50%
Processing Properties
50%
Medical Diagnostics
50%
False Alarm Rate
50%
Random Process
50%
Change in Mean
50%
Optimal Detector
50%
Design Equation
50%
Diagnostic Image
50%
Medical Control
50%
Instant of Change
50%
Optimal Window
50%
Technical Diagnostics
50%
Detector Sensitivity
50%
Controlled Processing
50%
Diagnostic Control
50%
Engineering
Disruptions
100%
Pearson Criterion
100%
Random Sequence
100%
Optimal Design
50%
Image Processing
50%
False Alarm Rate
50%
Limiting Case
50%
Random Process
50%
Mathematics
Random Sequence
100%
Variance
50%
Image Processing
50%
Random Process
50%
False Alarm Rate
50%
Limiting Case
50%
Optimal Design
50%