Automatic Modulation Classification Architectures Based on Cyclostationary Features in Impulsive Environments.
Tales V. R. O. CâmaraArthur D. L. LimaBruno M. M. LimaAluisio I. Rêgo FontesAllan de Medeiros MartinsLuiz Felipe Q. SilveiraPublished in: IEEE Access (2019)
Keyphrases
- feature extraction
- feature set
- classification accuracy
- feature vectors
- features extraction
- classification process
- classification method
- classification models
- feature space
- extracted features
- feature analysis
- pattern recognition
- feature selection algorithms
- feature selection
- machine learning
- classification algorithm
- benchmark datasets
- data sets
- image classification
- extracting features
- decision trees
- feature values
- eeg signals
- classification scheme
- feature construction
- feature extraction and classification
- real world
- pattern classification
- high dimensionality
- svm classifier
- support vector machine svm
- image features
- highly discriminative
- noise reduction
- support vector
- feature weights
- preprocessing
- low level
- text classification
- svm classification
- discriminative features
- class labels
- false positives
- feature representation