A Novel Sparse Classifier for Automatic Modulation Classification using Cyclostationary Features.
Udit SatijaBarathram RamkumarM. Sabarimalai ManikandanPublished in: Wirel. Pers. Commun. (2017)
Keyphrases
- feature set
- classification method
- classification process
- svm classifier
- feature space
- class labels
- classification models
- extracted features
- feature vectors
- classification accuracy
- input features
- feature extraction
- feature reduction
- multiple classifiers
- decision trees
- feature values
- classification scheme
- support vector machine
- support vector
- classification algorithm
- svm classification
- classification rate
- feature selection
- classification schemes
- training set
- classification decisions
- train a support vector machine
- final classification
- supervised classifiers
- feature subset
- feature extraction and classification
- naive bayes classifier
- bayesian classifier
- support vector machine classifier
- weak classifiers
- highly discriminative
- decision tree classifiers
- discriminative classifiers
- nearest neighbor classifier
- supervised classification
- high dimensional
- learning vector quantization
- feature selection algorithms
- classifier combination
- features extraction
- bayes classifier
- training samples
- ensemble classifier
- multiple kernel learning
- text classification
- feature histograms
- image classification
- supervised learning
- knn
- machine learning
- sufficient training data
- learning algorithm
- eeg signals
- wireless communication
- intra class
- feature maps
- image features
- decision forest
- feature ranking
- individual classifiers
- multiclass classification