Accuracy Analysis of Feature-based Automatic Modulation Classification with Blind Modulation Detection.
Pejman GhasemzadehSubharthi BanerjeeMichael HempelHamid SharifPublished in: ICNC (2019)
Keyphrases
- classification accuracy
- predictive accuracy
- pattern recognition
- features extraction
- automatic analysis
- detection accuracy
- decision trees
- error analysis
- neural network
- accuracy rate
- feature space
- statistical classification
- machine learning
- automatic detection
- detection rate
- semi automatic
- false positives
- multi class
- feature extraction
- data analysis
- preprocessing
- image analysis
- amplitude modulation
- heart rate variability
- support vector machine classifier
- automated analysis
- feature vectors
- detection algorithm
- computational cost
- classification rate
- classification scheme
- support vector machine
- pattern classification
- high accuracy
- training samples