Probabilities of False Alarm and Detection for the First-Order Cyclostationarity Test: Application to Modulation Classification.
Ahmet SerbesHuseyin CukurKhalid A. QaraqePublished in: IEEE Commun. Lett. (2020)
Keyphrases
- false alarms
- detection rate
- false alarm rate
- false positives
- number of false alarms
- worm detection
- decision trees
- pattern recognition
- machine learning
- false positive and false negative
- target detection
- feature extraction
- classification accuracy
- high rate
- detection algorithm
- feature vectors
- feature selection
- image classification
- detection accuracy
- object detection
- classification method
- text classification
- higher order
- computational cost
- classification algorithm
- feature space
- false negative
- video sequences
- class membership
- signal detection
- supervised learning
- support vector machine
- data mining