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Normalized signal-to-noise ratio for covariance estimation in target detection
Daniel Busbib
*
, Tzvi Diskin
,
Ami Wiesel
*
Corresponding author for this work
The Rachel and Selim Benin School of Engineering and Computer Science
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Dive into the research topics of 'Normalized signal-to-noise ratio for covariance estimation in target detection'. Together they form a unique fingerprint.
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Keyphrases
Signal-to-noise Ratio
100%
Target Detection
100%
Covariance Estimation
100%
Kullback-Leibler
37%
Leave-one-out
25%
Norm-based
25%
Ratiometric
25%
Covariance
12%
Numerical Experiments
12%
Reed
12%
Clairvoyance
12%
Competing Norms
12%
Targeting Vector
12%
Adaptive Detection
12%
Noise Covariance
12%
Unknown Covariance
12%
Kullback-Leibler Divergence
12%
Validation Framework
12%
Ratio Performance
12%
Linear Detector
12%
Cross-validation Estimator
12%
Kantorovich Inequality
12%
Mathematics
Covariance
100%
Noise Ratio
100%
Cross-Validation
25%
Seminal Paper
12%
Gaussian Distribution
12%
Worst Case
12%
Closed Form Solution
12%
Numerical Experiment
12%
Kullback-Leibler Divergence
12%
Computer Science
Signal-to-Noise Ratio
100%
Cross-Validation
25%
Leibler Divergence
12%